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AI in Drug Discovery USA
21 October - 22 October 2024
AI in Drug Discovery USA

JUST ANNOUNCED: END OF DAY 1 NETWORKING DRINKS RECEPTION

This year, for the first time ever, AI in Drug Discovery USA is in association with RNA Therapeutics USA to create Drug  Discovery Week in Boston, taking place from October 21-24, 2024. This is an exciting opportunity for professionals in the pharmaceutical and biotech industries to unite and advance the future of drug discovery through AI and RNA innovation.

Special Offer: 50% Off Tickets

Purchase tickets for both events for you and a colleague and receive a 50% discount. Please note: This offer is for new bookings only and cannot be used in conjunction with other offers. For full terms and conditions, click here.

Why can’t you afford to miss the AI Drug Discovery USA conference?

Artificial Intelligence (AI) has taken the lead in technological advancement across the pharmaceutical sector. It is expected to transform pre-clinical drug discovery through reducing costs by up to 40% and creating a market worth up to $50 billion in the next decade.

Hear first-hand the latest AI advancements across the pharmaceutical sector directly from experts in the field and obtain strategies to support your operations at the highly anticipated AI in Drug Discovery USA conference.

Driven by a move towards personalised therapies and novel drug candidates, Artificial Intelligence (AI) has taken the lead in technological advancement across the pharmaceutical sector. Increased efficiency of the drug discovery process, through innovations including automation, in-silico modelling, and machine learning, accelerate growth in an ever-expanding field, focused on revolutionising modern healthcare.

FEATURED SPEAKERS

Derek O Hagan

Derek O Hagan

Senior Advisor R&D, GSK
Dr Dmitriy Podolskiy

Dr Dmitriy Podolskiy

Associate Director and AI Drug Discovery, Astellas Pharma
Dr Petrina Kamya

Dr Petrina Kamya

President, Insilico Medicine Canada Inc and VP, Global Head of Platforms, Insilico Medicine
Dr Stephen MacKinnon

Dr Stephen MacKinnon

VP of Applied Machine Learning, Recursion Pharmaceuticals
Hetal Patel

Hetal Patel

Senior Principle Scientist/Group Leader, Pfizer
Jason Zhang

Jason Zhang

Co-Founder and CEO, Zipcode Bio
Jay Sarkar

Jay Sarkar

Researcher and Entrepreneur, Stanford University
Kevin Kim

Kevin Kim

VP, Discovery, miRecule, Inc.
Kinkini Roy

Kinkini Roy

Associate Director, Aviceda Therapeutics
Martin Akerman

Martin Akerman

CTO & Co-Founder, Envisagenics
Pushkar Saralkar

Pushkar Saralkar

Senior Scientist, Pfizer
Richard Geary

Richard Geary

EVP, Chief Development Officer, Ionis Pharmaceuticals, Inc.
Sandy Hinckley

Sandy Hinckley

VP, Head of Discovery, QurAlis Corporation
Simon Beaulah

Simon Beaulah

SVP Healthcare & Head of US Operations, PrecisionLife
Sourav Choudhury

Sourav Choudhury

Head AAV Technologies, Sanofi
Steve Pascolo

Steve Pascolo

Founder and CEO, Miescher Pharma GmbH
Sudhir Agrawal

Sudhir Agrawal

Founder and President, ARNAY Sciences
Yue Hui

Yue Hui

Scientist, Moderna
Zdravka Medarova

Zdravka Medarova

Chief Scientific Officer, TransCode Therapeutics
Zimeng Wang

Zimeng Wang

Senior Scientist, AstraZeneca

Dante Pertusi

Director, Cheminformatics, GSK
Dante Pertusi

Dante Pertusi is a member of the Cheminformatics group at GSK supporting the development and deployment of QSAR models and virtual screening tools to support molecular design. He’s had the opportunity to hold several roles at GSK, including in teams responsible for developing GSK’s image analytics approaches and evolving internal automation capabilities. Prior to GSK, he was a postdoc in Modeling and Informatics at Merck, where he joined after completing his Ph.D . in Chemical Engineering at Northwestern University.

Derek O Hagan

Senior Advisor R&D, GSK
Derek O Hagan

I am currently a Senior Advisor in GSK Vaccines R&D. Prior to my current role I was the Global Head of Discovery Support and New Technology in GSK. Previously, I was VP, Global Head of Vaccine Chemistry and Formulation for Novartis Vaccines. I have extensive experience on Vaccine Adjuvants, including R&D on several included in licensed products, and I was a member of the Team that initiated work on RNA vaccines in Novartis in 2009. I am a Fellow of the American Association of Pharmaceutical Scientists. I was previously awarded the Conference Science medal of the Royal Pharmaceutical Society of Great Britain, and the Young Investigator Research Achievement Award of the Controlled Release Society. I was named as the ‘most inventive scientist’ in Chiron Corp, Emeryville.

  • 175 peer reviewed publications (h-index 105, Google Scholar)
  • Named inventor on >70+ patents
     

Dr Alfie Brennan

Chief Scientific Officer, Evariste
Dr Alfie Brennan

Alfie Brennan, PhD, is the Chief Scientific Officer of Evariste, where he oversees the company's scientific strategy, the development of the company's pipeline of drug assets and its AI-enabled drug discovery platform, Frobenius. In his role, Alfie ensures that the insights gained during asset development are integrated back into the platform, enhancing the scientific knowledge base and accelerating innovation.

Alfie has a wealth of medicinal chemistry experience, having completed his MChem at Newcastle University, during which he worked on PI3Kdelta inhibitors in collaboration with GSK. He then pursued a PhD in Medicinal Chemistry under the mentorship of Professor Mike Waring and Dr. Celine Cano, with his research conducted in collaboration with Astex Pharmaceuticals. Following his PhD, Alfie spent two years at the Institute of Cancer Research in London, where he focused on the late-stage lead optimization of PPI inhibitors, now licensed by a US-based biotech.
 

Dr Anshul Kanakia

Director of Machine Learning, AstraZeneca
Dr Anshul Kanakia

Dr Christos A. Nicolaou

Senior Director, Digital Chemistry, Novo Nordisk
Dr Christos A. Nicolaou

Dr Dmitriy Podolskiy

Associate Director and AI Drug Discovery, Astellas Pharma
Dr Dmitriy Podolskiy

Dr. Podolskiy has previously worked at MIT and Harvard Medical School as Research Scientist on computational systems biology of canrcinogenesis and aging . He currently leads the Bioinformatics team at Astellas Institute for Regenerative Medicine and the cross-divisional AI drug discovery team at Astellas Inc

Dr Joel Karpiak

Head of Protein Design & Informatics, GSK
Dr Joel Karpiak

Dr Kinga Bercsenyi

Chief Business Officer, Arctoris
Dr Kinga Bercsenyi

Kinga Bercsenyi, PhD is the Chief Business Officer of Arctoris, a tech-enabled CRO based in Oxford.

Kinga completed her PhD at Cancer Research UK, followed by a Sir Henry Wellcome postdoctoral fellowship at King’s College London. She has extensive research experience spanning from early, through preclinical drug discovery, all the way to clinical trials. In her role at Arctoris, she is working tirelessly to support biotech and pharma clients in getting better data, which leads to better decisions and ultimately, better drugs for patients.

Dr Martin Akerman

CTO & Co-Founder, Envisagenics
Dr Martin Akerman

Dr. Martin Akerman is the CTO and Co-founder of Envisagenics. He is the inventor of SpliceCore®, Envisagenics’ flagship platform born of his vision of applying machine learning to RNA information and discovering new drug targets in areas of unmet need.

Martin trained as a postdoctoral fellow with Dr. Adrian Krainer at Cold Spring Harbor Laboratory, where he helped in the development of Spinraza®, the first FDA-approved RNA therapeutic for treating Spinal Muscular Atrophy. Dr. Akerman received his PhD in Bioinformatics from Technion, Israel Institute of Technology, where he studied how RNA splicing can boost functionality of the human genome and trigger diseases.

Dr Petrina Kamya

President, Insilico Medicine Canada Inc and VP, Global Head of Platforms, Insilico Medicine
Dr Petrina Kamya

Petrina Kamya, PhD, is the Global Head of AI Platforms and President of Insilico Medicine Canada, overseeing Insilico’s end-to-end generative AI-driven drug discovery platform, Pharma. AI.


Before joining Insilico, Dr. Kamya had a career in Market Access and held several positions at a software company that developed CADD tools for drug discovery and development.


She holds a Ph.D. in theoretical chemistry and a BS in biochemistry from Concordia University.
 

Dr Rabia Khan

Founder/CEO, Serna.bio
Dr Rabia Khan

Rabia Khan, PhD, MBA is the founder and CEO of Serna Bio, a biotech building the world's first map of the druggable transcriptome to address novel inaccessible biology. The company is using their ML-enabled discovery engine to progress programs in Oncology and Rare disease.
Dr. Khan is a member of the Board of Trustees for the UK Dementia Research Institute, an advisor to No Label Ventures, a fund investing in immigrant founders in the UK and EU and to The First Thirty VC fund. She has also held advisory roles for Creative Destruction Labs.
Dr. Khan has more than 10 years experience building scientific teams and delivering commercial deals at the intersection of machine learning, biology and drug discovery. She was Managing Director, Discovery Sciences at Sensyne Health Plc (now - Arctorus Data) establishing the scientific strategy, building the machine learning and clinical teams by recruiting and leading a team of over 50 machine learning and clinical researchers, and delivering on several significant pharma partnerships including Bayer, BMS, Roche and Alexion.
Dr. Khan has also held senior roles at BenevolentAI and Meta (acquired by Chan Zuckerberg BioHub). At Meta, she was pivotal in the partnership with the Intelligence Advanced Research Projects Activity (IARPA) to acquire horizon-scanning technology that used NLP to research the biomedical corpus. At BenevolentAI, she helped shape the discovery strategy for several programs, led the Age-Related Macular Degeneration and Glioblastoma drug discovery programmes and served as the interface between the technical and biological teams.
Born and raised in Pakistan, Dr. Khan is passionate about supporting diversity in technology and initiatives focused on improving access to care and availability of medicine.

Dr Stephen MacKinnon

VP of Applied Machine Learning, Recursion Pharmaceuticals
Dr Stephen MacKinnon

Stephen MacKinnon completed his PhD in Biochemistry at the University of Toronto, with research emphasis on structural bioinformatics.

Stephen led the research and development of predictive technologies for Cyclica, a Toronto-based startup, until their acquisition by Recursion in May 2023.

Stephen is currently VP of Digital Chemistry at Recursion, leading the continuous development and application of machine learning for drug discovery.

Dr Thierry Dorval

Head of Data Sciences & Data Management, Servier
Dr Thierry Dorval

Thierry Dorval received a B.S. degree in theoretical physic and obtained a Ph.D. in image processing and artificial intelligence at Pierre & Marie Curie University, Paris, France. He then joined the Institut Pasteur Korea in 2005 first as researcher in biological image analysis then as a group leader specialized in High Content Screening applied to cellular differentiation as well as toxicity prediction.

In 2012 he joined AstraZeneca, UK, where he was leading the Image and Data Analytics team. His activities were about developing and advising on quantitative image and data analysis solutions in support of high content phenotypic screens.


In 2015 he joined Servier, France, first as leader of the High Content Screening group within CentEX CPCB and then as Head of Data Science Lab, working on phenotypic approaches to improve drug discovery pipeline efficiency using high content and machine learning strategies.
 

Dr Venkatesh Mysore

Chief Technology Officer, AIkium
Dr Venkatesh Mysore

Dr. Venkatesh Mysore has a 15+ year career in computational drug discovery involving physics-based methods & super computers at D. E. Shaw Research, and deep learning & cloud computing at Atomwise. As a Principal Solutions Architect at NVIDIA, he was closely involved in ecosystem building and technology evangelism. At Aikium Inc., he heads the ML, MD, NGS, bioinformatics and other computational efforts involving the in-house trillion-protein screening platform.

Hetal Patel

Senior Principle Scientist/Group Leader, Pfizer
Hetal Patel

I am a group leader/Senior Principal Scientist at Pfizer Analytical Research and Development managing early and late-stage method validation and transfers.
I have a masters in organic chemistry, Ph.D. in protein chemistry/biochemistry from Rutgers University and Postdoctoral from Albert Einstein, NY. I pursued MBA in management from Babson (finance, leadership excellence, people management) during my tenure at Pfizer.
I have hands on experience working with mAbs, mRNA, small molecules, including small molecule synthesis, protein expression, variety of chromatographic/spectroscopic techniques, biochemical and biophysical characterization technologies, GMP inspections/audits, regulatory submissions/query responses. Lately, I have been actively leading implementation of ICH Q2 (R2) and ICH Q14 approaches around using prior knowledge and abbreviated validations in late-stage mRNA and mAb product development.
 

Jason Zhang

Co-Founder and CEO, Zipcode Bio
Jason Zhang

Dr. Jason Zhang is the Co-Founder and CEO of Zipcode Bio, a leading biotechnology company developing next-generation nucleic acid-based medicines. Before founding Zipcode Bio, he was CSO at two biotech firms, overseeing preclinical R&D and pipeline strategy. Dr. Zhang has broad expertise in oncology, immunology, neurology, and infectious diseases, working with therapeutic modalities like mRNA, AAV, antibodies, and oligonucleotides.
He has successfully advanced multiple drug candidates through clinical trials and contributed to a marketed drug. Dr. Zhang also brings extensive experience in business development and alliance management. He holds dual PhDs in Immunology (NYU) and Chemistry (Peking Union Medical College), and completed postdoctoral training at Yale and Harvard, as well as a CEO program at Haas School of Business.
 

Jay Sarkar

Researcher and Entrepreneur, Stanford University
Jay Sarkar

Dr. Sarkar is a researcher and entrepreneur with a background in applied physics and electrical engineering, which he utilizes to develop systems biology solutions for medicine. He built his first company off his foundational PhD work at Stanford University, where he pioneered the use the mRNA modality for transiently reprogramming cell epigenetics to specifically reset cellular age. The approach has grown as one of the hottest in the longevity community, with some of the largest startup investments in biotech history. He has now progressed to studying the broader problem of new modality integration and distribution in a variety of tissues.

Karl Leswing

Executive Director, Machine Learning, Schrodinger
Karl Leswing

Karl Leswing is the Executive Director for Machine Learning at Schrödinger. In this role he oversees the research and execution of machine learning applications for Schrödinger’s digital chemistry platform.
In 2017 he was a visiting researcher at the Pande Lab working on using deep learning techniques for drug discovery. During that time he co-authored MoleculeNet, a benchmarking paper analyzing machine learning techniques for chemoinformatics.
Karl received his undergraduate degree from the University of Virginia, and a Master’s in machine learning from Georgia Tech.
 

Kevin Kim

VP, Discovery, miRecule, Inc.
Kevin Kim

Kevin is an experienced leader in RNA therapeutic discovery with a track record of successfully managing research organizations and executing multiple pipeline programs to overcome technical and developmental challenges to bring RNA therapies to the clinic for genetic disorders.
Kevin received his doctoral degree at UCLA and worked with the world-renowned experts on neuromuscular diseases, Dr. Lee Rubin at Harvard University and Dr. Robert Baloh at Cedars- Sinai Hospital, to unravel the disease mechanisms and potential therapeutic pathways for devastating diseases such as ALS and CMT. Over a decade of experience in academia and in various industry settings (start-up, biotech and pharma) has culminated in multiple academic publications and patents as well as contribution to the development of the next generation stereopure ASO drugs for CNS diseases (Wave Life Sciences) and cardioprotective therapeutic (Stem Cell Theranostics) which are currently undergoing preclinical and clinical evaluations. As Senior Director of Discovery Biology at Sarepta Therapeutics, Kevin and his team enhanced the delivery of FDA-approved PMO platform and expanded the utility of the platform to discover novel RNA therapeutics for genetic diseases. Kevin is currently serving as VP of Discovery at miRecule, Inc.
 

Khader Shameer

Executive Director and Global Head of AI-Driven Drug Discovery, Sanofi
Khader Shameer

Kinkini Roy

Associate Director, Aviceda Therapeutics
Kinkini Roy

After finishing PhD and postdoc study from University of Massachusetts Amherst, Kinkini Roy worked in industry for last 12 years in Boston Biotech as well as big corporation. Currently she is leading the program for the next-generation RNA therapeutics using a proprietary synthetic, high-affinity, multi-valent glycans that target extrahepatic cells and improve intracellular delivery and efficacy of siRNA, Anti- sense oligonucleotides, mRNA-based therapeutics, Crispr-Cas9 gene editing and lysosomal targeted protein degradation. Along with that she is leading the formulation development team and develop the formulation development strategy for pipeline development.

Martin Akerman

CTO & Co-Founder, Envisagenics
Martin Akerman

Dr. Martin Akerman is the inventor of SpliceCore®, Envisagenics’ flagship platform born of his vision of applying machine learning to RNA information and discovering new drug targets in areas of unmet need. Martin trained as a postdoctoral fellow with Dr. Adrian Krainer at Cold Spring Harbor Laboratory, where he helped in the development of Spinraza®, the first FDA-approved RNA therapeutic for treating Spinal Muscular Atrophy. Dr. Akerman received his PhD in Bioinformatics from Technion, Israel Institute of Technology, where he studied how RNA splicing can boost functionality of the human genome and trigger diseases.

Matthew Welborn

Executive Director, Machine Learning, Iambic Therapeutics
Matthew Welborn

Dr. Matt Welborn leads Machine Learning at Iambic Therapeutics, a position he has held since 2020. He earned his PhD in Physical Chemistry from MIT and subsequently completed a postdoctoral fellowship at Caltech, focusing on the application of deep learning to quantum chemistry. Prior to his current role, Dr. Welborn served as a software scientist at the Molecular Sciences Software Institute.

Pushkar Saralkar

Senior Scientist, Pfizer
Pushkar Saralkar

Pushkar Saralkar is a Senior Scientist at Pfizer within the BioTherapeutics Pharmaceutical Research & Development organization in Andover, MA. Dr Saralkar is experienced in drug product development, with a particular interest in mRNA lipid nanoparticles. His research is broadly focused on developing delivery solutions to advance novel therapeutics into the clinic and is driven by developing breakthroughs that can change patient's lives.

Dr Saralkar completed a Ph.D. (Pharmaceutical Science) in 2021 at West Virginia University with focus in nanoparticle-based drug delivery, CNS targeting and BBB pharmacokinetics. His research targeted mitochondrial protein mitoNEET to improve tissue survival following cerebral ischemia and reperfusion injury.
 

Raya Stoyanova

Data Scientist, MLOps, Roche
Raya Stoyanova

I have a background in machine learning and data science within the pharmaceutical industry, with extensive experience across various domains, primarily focusing on small molecules. Recently, I transitioned into the MLOps domain at Roche, where I am concentrating on developing a robust platform that enables data scientists to onboard their models as efficiently as possible. My work involves streamlining the deployment process and ensuring scalability. This platform aims to enhance the accessibility and operationalization of machine learning models, ultimately driving innovation and efficiency in pharmaceutical research and development.

Richard Geary

EVP, Chief Development Officer, Ionis Pharmaceuticals, Inc.
Richard Geary

Dr. Geary is the Executive Vice President and Chief Development Officer at Ionis Pharmaceuticals. He is responsible for preclinical development, clinical development and clinical-stage manufacturing for Ionis’ antisense medicines. Since joining Ionis in 1995, Dr. Geary has been involved in discovery and development including the regulatory submission of more than 50 investigational new drug applications to U.S. and other regulatory agencies. In his position as head of development, Dr. Geary has led six successful antisense medicine development programs through approvals in multiple jurisdictions.
During his tenure at Ionis, he has authored or co-authored 14 book chapters and more than 80 peer-reviewed manuscripts.
 

Sandy Hinckley

VP, Head of Discovery, QurAlis Corporation
Sandy Hinckley

Sandy Hinckley, Ph.D., is an accomplished drug-discovery scientist with a background as a human stem cell biologist and neuroscientist, focusing on disease modeling, therapeutic discovery, and translational research. Dr. Hinckley is currently vice president, head of discovery at QurAlis Corporation, a biotech company at the forefront of discovering and developing transformative precision medicines for neurodegenerative diseases, where she leads QurAlis' drug discovery efforts and biomarker strategies. She has worked at QurAlis since 2018, bringing forward two programs into clinical studies, including QRL-201, a splice-switching oligonucleotide for restoring STATHMIN-2 in sporadic ALS and other neurodegenerative diseases.

Senior Representative

, BenevolentAI
Senior Representative

Simon Beaulah

SVP Healthcare & Head of US Operations, PrecisionLife
Simon Beaulah

Simon is SVP Healthcare and Head of US Operations at PrecisionLife. He brings over 25 years of experience in product and business strategy in AI and genomics, working in healthcare and life sciences.

Before joining the company, Simon was Director of Healthcare at Linguamatics/IQVIA, leading their healthcare NLP business unit for seven years. Prior to that, he worked for IDBS, BioWisdom, LION bioscience and the UK’s BBSRC. He is deeply committed to advancing precision medicine approaches to detect, characterize, treat, and ultimately alter the trajectory of complex diseases using causal AI and ‘omics technologies.
 

Sourav Choudhury

Head AAV Technologies, Sanofi
Sourav Choudhury

Sourav Choudhury is a Lab Head in the Genomics Medicine Unit at Sanofi, based in Framingham, MA. He joined Sanofi in 2020 to lead AAV Technologies Laboratory, a platform group focused on AAV capsid engineering and AAV immunology.
Sourav obtained his Ph.D. from UMASS Medical School for his work on development of novel CNS-tropic AAV capsids. He did his postdoctoral training in the laboratory of Feng Zhang at Broad Institute, demonstrating the first in vivo application of CRISPR nuclease Cas12a. Sourav has since worked in Cambridge-based early stage biotechs, first at Intellia Therapeutics designing AAV-based genome editing tools, and then at LogicBio Therapeutics, where he led early-discovery stage indication selection.
 

Steve Pascolo

Founder and CEO, Miescher Pharma GmbH
Steve Pascolo

Trained as an immunologist at the Pasteur Institute (Paris, France), Prof. Steve Pascolo started working on mRNA vaccine in 1998 in Tuebingen, Germany. In 2000, he co-founded CureVac and was Chief Scientific Officer (CSO) of the company, developing the technology, implementing the worldwide first pharmaceutical (GMP) production of synthetic mRNA and starting in 2003 the worldwide first clinical studies where humans (including himself) got injections of in vitro transcribed mRNA. In 2006, he left CureVac and continued the development of immunotherapies based on RNA at the University Hospital of Zurich. In 2008, he founded Miescher Pharma to support this work. In 2017, Prof. Pascolo implemented in the University of Zurich an academic mRNA platform. In collaboration with several research and clinical departments in Zurich he optimizes, tests and implements mRNA based vaccines and therapies.

Sudhir Agrawal

Founder and President, ARNAY Sciences
Sudhir Agrawal

Sudhir Agrawal, D. Phil., FRSC, is the founder and President of ARNAY Sciences. He also serves as an Affiliate Professor in the Department of Medicine at UMass Chan Medical School. Over the last three decades, his research interest has been discovering and developing RNA therapeutics, including antisense and immunotherapy. He focuses on the chemical biology of nucleic acids for creating RNA therapeutics. He has published over 300 research papers and is listed as a co-inventor of more than 500 patents worldwide. He has edited four books on oligonucleotides and antisense technology, including a recent book on ‘Advances in Nucleic Acid Therapeutics’ by The Royal Society of Chemistry. He is currently serving as a member of the scientific advisory board of several biotechnology companies.

He obtained his D.Phil. in Chemistry from Allahabad University in India and conducted postdoctoral research at MRC’s Laboratory of Molecular Biology, Cambridge, UK. His research in the antisense field started in Paul Zamecnik’s laboratory at the Worcester Foundation of Experimental Biology, now UMass Chan Medical School. He was a co-founder of Idera Pharmaceuticals and held various roles until 2017.

In 2022, the Oligonucleotide Therapeutic Society awarded him the Lifetime Achievement Award.

 

Tobias Olsen

Investigator, Protein Design and Informatics, GSK
Tobias Olsen

Tobias Hegelund Olsen, PhD, is an Investigator in Protein Design and Informatics at GSK. He specialises in the development of generative AI tools for the discovery and design of therapeutic proteins, like antibodies, T-cell receptors (TCRs), and other novel modalities. In his role, he also works with integrating computational design pipelines with laboratory workflows, creating a single, highly efficient system for rational design of therapeutics.

Tobias has an extensive experience in computational protein design. He has a PhD in computational antibody design and discovery under the supervision of Prof. Charlotte Deane, MDE, at the Oxford Protein Informatics Group (OPIG), University of Oxford. Prior to this, he completed his M.Sc. Eng. in Pharmaceutical Design and Engineering at the Technical University of Denmark, where he worked on TCR:p:MHC binding prediction under the supervision of Prof. Paolo Marcatili and Prof. Morten Nielsen.
 

Yue Hui

Scientist, Moderna
Yue Hui

I earned my Ph.D. degree in Chemical Engineering from Caltech under Professor David A. Tirrell. In September 2022, I joined Moderna as a Scientist in Formulation Discovery. Here, I lead research initiatives focused on LNP process fundamentals and innovation, as well as novel LNP systems for both hepatic and extra-hepatic delivery of nucleic acids.

Zdravka Medarova

Chief Scientific Officer, TransCode Therapeutics
Zdravka Medarova

Zdravka Medarova, PhD has served as Scientific Co-Founder and a member of the advisory board of TransCode since January 2016. Dr.
Medarova has been on the Faculty of Harvard Medical School and MGH since June 2007. She has served as an Associate Professor of Radiology at Harvard Medical School from April 2016 and as an Assistant in Neuroimaging at the Athinoula A. Martinos Center for Biomedical Imaging at MGH since June 2007. Dr. Medarova joined TransCode fulltime as the Chief Technology Officer on October 1, 2021. Dr. Medarova is a geneticist/cancer biologist by training and is internationally recognized for her work on non-coding RNA for cancer therapy. She is one of the first to describe the design and application of nanoparticles as carriers of siRNA to tumors. Since then, her research has focused on developing nanotechnology and imaging tools to better understand cancer initiation and progression and applying this knowledge to design clinically relevant therapeutic and diagnostic agents against cancer. Dr. Medarova obtained a B.A. in pre-medicine from the University of Southern Maine in September 1998 and a Ph.D. in Genetics from the University of New Hampshire in December 2002.

Zimeng Wang

Senior Scientist, AstraZeneca
Zimeng Wang

Zimeng is a senior scientist of Advanced Drug Delivery, Pharmaceutical Sciences, AstraZeneca. His research in AZ includes formulation optimization to enhance the efficacy and safety of LNP vaccines, development of dry powder LNPs to improve RT stability, and development of LNPs for local/targeted delivery. Before joining AZ, he worked in Phosphorex Inc. on development of sustained release microspheres and targeted delivery nanoparticles. Zimeng got his PhD in University of Rhode Island focusing on development of dry powder aerosol nanocomposite microparticles for the treatment of pulmonary diseases.

Why should you attend?

Get ready for the highly requested AI in Drug Discovery Conference this October 2024 in the United States. In the interim since our last gathering in March 2024 in the UK, the industry has achieved a groundbreaking milestone – the first wholly AI-discovered and designed drug is now undergoing Phase 2 clinical trials.

Four compelling reasons as to why you can't miss out:

  • Gain insights from leading biotechs and big pharma on drug target selection
  • Explore neural networks with a focus on digital twins, new drug designs and in-silico modelling to expand your portfolio
  • Get the latest insights on the benefits of machine learning from molecule design to clinical trial selection, along with crucial patient-centric considerations.
  • Discuss best use and potential impact of Generative AI in light of the launch of Chat GPT

Who should attend?

  • All companies wishing to get therapeutics to patients faster and thus extending healthy longevity for everyone.
  • Build your AI ecosystem combining internal and external resources and partners to discover new ways to treat diseases, design novel molecules, optimise pre-existing treatments, and reducing the cost & time of drug development.
  • Wish to share ideas, collaborate, and learn from successes and difficulties in both data science and drug discovery – fast-changing field that need interdisciplinary skills & experience.
  • Mature your company’s approach to AI and ML applications to hurdle the major challenges and avoid the pitfalls that caused previous failures in the first wave of initiatives. Benchmark your pipeline against the latest understanding of strengths and weaknesses in leveraging these tools.
  • Gain insight into the true nature of the major challenges – away from algorithms and tools, towards data and technical leadership.

Join us in October as we navigate through the hype and unveil effective strategies to harness the AI revolution for achieving tangible and transformative outcomes in the realm of drug design and discovery.

sponsors

Conference agenda

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8:00

Registration & Coffee

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9:00

Chairs' Opening Remarks

Dr Petrina Kamya, President, Insilico Medicine Canada Inc and VP, Global Head of Platforms, Insilico Medicine

Dr Christos A. Nicolaou

Dr Christos A. Nicolaou, Senior Director, Digital Chemistry, Novo Nordisk

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9:10

Improving AI Analytical and Predictive Power in Drug Discovery through Deep Learning Methodologies

Dr Anshul Kanakia

Dr Anshul Kanakia, Director of Machine Learning, AstraZeneca

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9:40

Exploiting Emerging AI Techniques in Biologics to Support Hit Identification and Lead Optimisation

Dr Dmitriy Podolskiy, Associate Director and AI Drug Discovery, Astellas Pharma

  • Structure-based generative AI for biologics
  • Sequence-based generative AI for biologics
  • ML models for binding properties of peptides
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    10:10

    Operationalising ML at Speed and at Scale to Improve Integration & Decision-Making across the Roche Drug Discovery Pipeline

    Raya Stoyanova, Data Scientist, MLOps, Roche

  • Using AI to contribute to a more agile framework for discovery and delivery
  • Strategising ML deployment across research workflows
  • Choosing and refining a portfolio of prioritised ML models to prioritise
  • Challenges to operationalisation
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    10:40

    Morning Break

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    11:10

    Latest advancements in machine learning-enhanced in silico design: Impact on a pipeline of drug discovery programs

    Karl Leswing, Executive Director, Machine Learning, Schrodinger

  • Using active learning with FEP+ for large-scale in silico fragment screens in hit discovery
  • Applying de novo design workflows for intelligent molecular core design
  • Leveraging experimental data for enhancing ADMET profiles in lead optimization using an interactive ML dashboard
     
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    11:40

    Knowledge Graphs to Maximise Success Rate of Early Stage Drug Discovery

    Dr Thierry Dorval, Head of Data Sciences & Data Management, Servier

  • Current weaknesses in approaches to small molecule screening
  • Using knowledge graphs to address those weaknesses 
  • Anticipating future progress
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    12:10

    Implementing Production AI: Redrawing the DMTA Drug Discovery Cycle

    Dr Christos A. Nicolaou

    Dr Christos A. Nicolaou, Senior Director, Digital Chemistry, Novo Nordisk

  • Why does advances in AI methodologies means we should reimagine the DMTA cycle? 
  • What should an optimised, comprehensive, closed-loop DMTA cycle look like? 
  • What are the limits of AI utility to this transformation? What are the current technological gaps? How do we accommodate gaps and limits to augment drug discovery processes?
  • Unpacking recent successes in putting the theory into practice at Novo Nordisk
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    12:40

    Networking Lunch

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    13:40

    Unlocking the Potential of AI for High-Throughput Immunotherapy Drug Discovery Through RNA Splicing

    Dr Martin Akerman, CTO & Co-Founder, Envisagenics

  • Envisagenics presents SpliceCore, an AI-powered target discovery platform with a focus on the identification of novel, highly tumor-specific, and safe epitopes for immunotherapeutic development.
  • Explore the cutting-edge technology behind SpliceCore and delve into its scientific foundation of alternative splicing, a molecular process that simultaneously drives tumor progression while generating novel epitopes within cancer cells — offering a promising foundation for novel therapies.
  • Through compelling case studies and rigorous experimental validations, we showcase the predictive capabilities of the SpliceCore platform and its ability to find novel tumor-specific epitopes.
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    14:10

    Mapping the Druggable Transcriptome – Exploring the Intersection of AI, the Human Genome, and Drug Discovery

    Dr Rabia Khan, Founder/CEO, Serna.bio

  • Why RNA? Limits of protein-focused drug discovery
  • Building an appropriate & accurate dataset to inform valid AI mapping
  • ML methodologies applied to build the platform
  • Lessons drawn from ML: the StaR rules
  • Leveraging the new RNA world for drug discovery – unlocking classically undruggable proteins and unexplored potential therapeutic targets
     
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    14:40

    Afternoon Break

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    15:10

    Causal AI & Mechanistic Patient Stratification - Increasing Probability of R&D Success from Concept to Clinic

    Simon Beaulah, SVP Healthcare & Head of US Operations, PrecisionLife

  • Discovering, developing, and launching AI driven precision medicines for complex, chronic diseases
  • Creating better diagnostic tools and more personalized treatment options for unmet medical needs
  • Improving the discovery and selection of novel targets matched to patient biology
  • Informing the design of clinical trials that are faster to readout and more likely to succeed
  • Linking patients to effective treatments via their mechanism of disease
  • clock

    15:40

    Panel Discussion: Strategising the Next Stage of AI Integration into Drug Discovery and the Pharmaceutical Industry

  • What is the long-term goal for AI in Drug Discovery, and how do we get there?
  • How do we address the current weaknesses and issues with AI in Drug Discovery?
  • How can we fully integrate AI tools into the pharmaceutical industry as well as drug discovery – and how disruptive will it be current business models?
  • Predicting & overcoming ethical and regulatory barriers
  • Dr Christos A. Nicolaou

    Dr Christos A. Nicolaou, Senior Director, Digital Chemistry, Novo Nordisk

    Dr Stephen MacKinnon, VP of Applied Machine Learning, Recursion Pharmaceuticals

    Dr Martin Akerman, CTO & Co-Founder, Envisagenics

    Dr Alfie Brennan, Chief Scientific Officer, Evariste

    Dr Venkatesh Mysore, Chief Technology Officer, AIkium

    clock

    16:20

    Chairs' Closing Remarks

    clock

    16:30

    Networking Drinks Reception

    clock

    8:30

    Registration & Coffee

    clock

    9:00

    Chairs' Opening Remarks

    Dr Petrina Kamya, President, Insilico Medicine Canada Inc and VP, Global Head of Platforms, Insilico Medicine

    Dr Christos A. Nicolaou

    Dr Christos A. Nicolaou, Senior Director, Digital Chemistry, Novo Nordisk

    clock

    9:10

    Re-Engineering the Drug Discovery Pipeline to Put AI Integration at the Heart and Maximise Gains in Efficacy, Safety, and Cost

    Dr Petrina Kamya, President, Insilico Medicine Canada Inc and VP, Global Head of Platforms, Insilico Medicine

  • Enabling end-to-end AI integration: Successes of the Pharma.AI platform
  • The importance of supporting AI platforms with state-of-the-art laboratories for data generation
  • Overview of preclinical and clinical pipeline
  • clock

    9:50

    Integrating Multi-Modal AI/ML Models into the Drug Discovery Pipeline

    Dante Pertusi, Director, Cheminformatics, GSK

  • Improving the Robustness of AI/ML Predictions & Results 
  • Incorporating Multi-Modal Models into Existing Frameworks
  • Reflections on the GSK Experience of Augmenting Cheminformatics with AI/ML tools

     

  • clock

    10:30

    Morning Break

    clock

    11:00

    Industrialising Drug Design through an ML-First Mindset

    Dr Stephen MacKinnon, VP of Applied Machine Learning, Recursion Pharmaceuticals

  • What does it mean to have an ‘ML-First Mindset’?
  • Moving ML beyond small silos and virtual bubbles to scaled, generalised company-wide processes – reflections from experience in application
  • The Future Ideal: Combining AI with other advanced tools to minimise manual action until clinical dosing
  • clock

    11:40

    How Iambic used AI and laboratory automation to move from program launch to IND in two years, discovering IAM1363, a pan-mutant, brain-penetrant HER2

    Matthew Welborn, Executive Director, Machine Learning, Iambic Therapeutics

  • I'll describe the main elements of our AI-driven experimental platform (including models like NeuralPLexer for structure prediction, and plate-based experimentation for closed-loop exploration and data generation)
  • As an example of how these technologies have been effectively brought to bear in discovery projects at Iambic, I'll talk through our lead program, which went from launch to IND in 24 months, and is now being studied in a Phase 1 clinical trial
  • clock

    12:20

    Networking Lunch

    clock

    13:30

    Realising the Full Potential of Lab Automation as an Enabling Technology for AI-driven Drug Discovery beyond High-Throughput Screening

    Dr Kinga Bercsenyi , Chief Business Officer, Arctoris

    clock

    14:10

    Addressing the antibody germline bias and its effect on language models for improved antibody design

    Tobias Olsen, Investigator, Protein Design and Informatics, GSK

  • Advantages of specific models over generic LLMs
  • Specific utilities for antibody engineering
  • Overview of the next-generation models
  • Ensuring accurate output
  • clock

    14:50

    Afternoon Break

    clock

    15:20

    Closing Fireside Chat: Reflecting on Two Years of ChatGPT-Driven LLM Hype

  • A new era for drug discovery technologies?
  • Assessing the potential: A limited but useful tool?
  • A pivotal development in the space or a distraction from beneficial forms of generative AI?
  • Dr Petrina Kamya, President, Insilico Medicine Canada Inc and VP, Global Head of Platforms, Insilico Medicine

    Dr Thierry Dorval, Head of Data Sciences & Data Management, Servier

    Tobias Olsen, Investigator, Protein Design and Informatics, GSK

    clock

    16:00

    Chairs' Closing Remarks and End of Conference


    Director, Cheminformatics
    GSK
    Senior Advisor R&D
    GSK
    Chief Scientific Officer
    Evariste
    Director of Machine Learning
    AstraZeneca
    Senior Director, Digital Chemistry
    Novo Nordisk
    Associate Director and AI Drug Discovery
    Astellas Pharma
    Head of Protein Design & Informatics
    GSK
    Chief Business Officer
    Arctoris
    CTO & Co-Founder
    Envisagenics
    President, Insilico Medicine Canada Inc and VP, Global Head of Platforms
    Insilico Medicine
    Founder/CEO
    Serna.bio
    VP of Applied Machine Learning
    Recursion Pharmaceuticals
    Head of Data Sciences & Data Management
    Servier
    Chief Technology Officer
    AIkium
    Senior Principle Scientist/Group Leader
    Pfizer
    Co-Founder and CEO
    Zipcode Bio
    Researcher and Entrepreneur
    Stanford University
    Executive Director, Machine Learning
    Schrodinger
    VP, Discovery
    miRecule, Inc.
    Executive Director and Global Head of AI-Driven Drug Discovery
    Sanofi
    Associate Director
    Aviceda Therapeutics
    CTO & Co-Founder
    Envisagenics
    Executive Director, Machine Learning
    Iambic Therapeutics
    Senior Scientist
    Pfizer
    Data Scientist, MLOps
    Roche
    EVP, Chief Development Officer
    Ionis Pharmaceuticals, Inc.
    VP, Head of Discovery
    QurAlis Corporation
    BenevolentAI
    SVP Healthcare & Head of US Operations
    PrecisionLife
    Head AAV Technologies
    Sanofi
    Founder and CEO
    Miescher Pharma GmbH
    Founder and President
    ARNAY Sciences
    Investigator, Protein Design and Informatics
    GSK
    Scientist
    Moderna
    Chief Scientific Officer
    TransCode Therapeutics
    Senior Scientist
    AstraZeneca

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    WHAT IS CPD?

    CPD stands for Continuing Professional Development’. It is essentially a philosophy, which maintains that in order to be effective, learning should be organised and structured. The most common definition is:

    ‘A commitment to structured skills and knowledge enhancement for Personal or Professional competence’

    CPD is a common requirement of individual membership with professional bodies and Institutes. Increasingly, employers also expect their staff to undertake regular CPD activities.

    Undertaken over a period of time, CPD ensures that educational qualifications do not become obsolete, and allows for best practice and professional standards to be upheld.

    CPD can be undertaken through a variety of learning activities including instructor led training courses, seminars and conferences, e:learning modules or structured reading.

    CPD AND PROFESSIONAL INSTITUTES

    There are approximately 470 institutes in the UK across all industry sectors, with a collective membership of circa 4 million professionals, and they all expect their members to undertake CPD.

    For some institutes undertaking CPD is mandatory e.g. accountancy and law, and linked to a licence to practice, for others it’s obligatory. By ensuring that their members undertake CPD, the professional bodies seek to ensure that professional standards, legislative awareness and ethical practices are maintained.

    CPD Schemes often run over the period of a year and the institutes generally provide online tools for their members to record and reflect on their CPD activities.

    TYPICAL CPD SCHEMES AND RECORDING OF CPD (CPD points and hours)

    Professional bodies and Institutes CPD schemes are either structured as ‘Input’ or ‘Output’ based.

    ‘Input’ based schemes list a precise number of CPD hours that individuals must achieve within a given time period. These schemes can also use different ‘currencies’ such as points, merits, units or credits, where an individual must accumulate the number required. These currencies are usually based on time i.e. 1 CPD point = 1 hour of learning.

    ‘Output’ based schemes are learner centred. They require individuals to set learning goals that align to professional competencies, or personal development objectives. These schemes also list different ways to achieve the learning goals e.g. training courses, seminars or e:learning, which enables an individual to complete their CPD through their preferred mode of learning.

    The majority of Input and Output based schemes actively encourage individuals to seek appropriate CPD activities independently.

    As a formal provider of CPD certified activities, SAE Media Group can provide an indication of the learning benefit gained and the typical completion. However, it is ultimately the responsibility of the delegate to evaluate their learning, and record it correctly in line with their professional body’s or employers requirements.

    GLOBAL CPD

    Increasingly, international and emerging markets are ‘professionalising’ their workforces and looking to the UK to benchmark educational standards. The undertaking of CPD is now increasingly expected of any individual employed within today’s global marketplace.

    CPD Certificates

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