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Main Stage (Afternoon Sessions)
  1. Welcome & Chair's Opening Remarks
  2. C-suite Panel: The current state of play for AI deployment in pharma
    Speakers
    Speaker image for Kim Branson
    Kim Branson, Chief AI Officer, GSK
    Speaker image for Christopher Arendt
    Christopher Arendt, Chief Scientific Officer and Head of Research, Takeda
    Speaker image for Wade Davis
    Wade Davis, SVP Digital, Moderna
    Speaker image for Alex Condoleon
    Alex Condoleon, Chief Medical Affairs Officer, Medical Engagement and Impact, Pfizer
  3. The Agentic AI Shift: Revolutionizing R&D and Drug Discovery in Life Sciences
    Speakers
    Speaker image for Shweta Maniar
    Shweta Maniar, Global Director, Healthcare & Life Sciences, Google Cloud
  4. Foundation Models: Opportunities, Challenges, and What’s Next
    Speakers
    Speaker image for Joshua Meier
    Joshua Meier, Co-Founder, Chai Discovery
    Speaker image for Gabriele Corso
    Gabriele Corso, Co-Founder & CEO, Boltz
  5. Where the Industry is Today: Concerns, Surprises, Hope, and Hype
    Speakers
    Speaker image for Vin Singh
    Vin Singh, Founder and CEO, BullFrog AI
  6. Afternoon Break
  7. Keynote Presentation: Leveraging the AI Cloud for Drug Discovery
  8. Innovation Showcase & Reverse Pitches
    Speakers
    Speaker image for Nikhil Mutyal
    Nikhil Mutyal, Global Head of Search & Evaluation - Repsiratory & Immunology, AstraZeneca
    Speaker image for Parthiban Rajasekaran
    Parthiban Rajasekaran, Global Innovation Lead, Sanofi
    Speaker image for Shruti Vij
    Shruti Vij, Director Innovation and AI strategy, Alexion
    Speaker image for Elena Cecilia Diez
    Elena Cecilia Diez, Senior Director External Innovation, Johnson & Johnson
    Speaker image for Uli Stilz
    Uli Stilz, Senior Partner, Flagship Pioneering
  9. Innovation Showcase & Reverse Pitches
    Speakers
    Speaker image for Uli Stilz
    Uli Stilz, Senior Partner, Flagship Pioneering
    Speaker image for Elena Cecilia Diez
    Elena Cecilia Diez, Senior Director External Innovation, Johnson & Johnson
    Speaker image for Shruti Vij
    Shruti Vij, Director Innovation and AI strategy, Alexion
    Speaker image for Parthiban Rajasekaran
    Parthiban Rajasekaran, Global Innovation Lead, Sanofi
    Speaker image for Nikhil Mutyal
    Nikhil Mutyal, Global Head of Search & Evaluation - Repsiratory & Immunology, AstraZeneca
  10. Networking drinks
AI Platforms Morning Workshops
  1. Registration
  2. Workshop 1: Who Owns the Molecule? IP Strategy for AI-Generated Drug Assets
  3. Workshop 5: AI-Designed Antibodies: From Sequence Generation to Developability
  4. Lunch & 121 meetings
Genomics & Neurology Morning Workshops
  1. Registration
  2. Workshop 2: Bridging AI Discovery with Real-World Manufacturing Execution
  3. Workshop 6: From Data Management to AI Readiness: Preparing Pharma Data for Scalable Innovation
  4. Lunch & 121 meetings
Immuno-oncology Morning Workshops
  1. Registration
  2. Workshop 3: Quantum Computing for Drug Discovery: Hype, Reality, and Near-Term Use Cases
  3. Workshop 7: Next-Generation Pharma R&D: Digital Twins, Robotics and Real-Time Decision Systems
  4. Lunch & 121 meetings
Quantum Advances Morning Workshops
  1. Registration
  2. Workshop 4: Scaling AI Drug Discovery with Decision-Grade Knowledge Graphs
  3. Workshop 8: Real-Time Process Control in Pharma Manufacturing: From Inline Raman to Predictive Release
  4. Lunch & 121 meetings
Discovery Biology
  1. Registration
  2. Executive Panel - Operationalizing AI in Discovery Biology: From Target Hypothesis to Translational Decision-Making
    Speakers
    Speaker image for Richard Bonneau
    Richard Bonneau, VP and Global Head,AI for Drug Discovery, Roche
    Speaker image for Morten Sogaard
    Morten Sogaard, Senior Vice President, Head of Astellas Innovation Lab, Astellas Pharma
    Speaker image for Tharindi Hapuarachchi
    Tharindi Hapuarachchi, VP Platform Strategy & Operations, Generate Biomedicines
  3. Scaling Scientific Capacity: Giving Every Researcher a Team of AI scientists
    Speakers
    Speaker image for Marcos Camara
    Marcos Camara, Director of AI, Sigmatic Sciences
    Speaker image for Dave Cooney
    Dave Cooney, Head of GTM Strategy, Sigmatic Sciences
  4. AI for Mechanism-Driven Precision Medicine: Connecting Target Biology to Patient Context
    Speakers
    Speaker image for Emanuele de Rinaldis
    Emanuele de Rinaldis, VP, Global Head of Target, Disease & Systems Biology, Sanofi
  5. Networking break
  6. AI-Guided Functional Genomics: From CRISPR Screens to Causal Target Commitment
    Speakers
    Speaker image for Wen-Han Yu
    Wen-Han Yu, Director, Therapeutics & Translational Bioinformatics, Moderna
  7. AI Designs Faster Than the Lab Can Validate — Where Does Cell-Free Fit?
    Speakers
    Speaker image for Takashi Ebihara
    Takashi Ebihara, COO, GeneFrontier
  8. Lunch
  9. Mapping Disease Biology with Single-Cell and Spatial AI
    Speakers
    Speaker image for Ioannis Vlachos
    Ioannis Vlachos, Associate Professor of Pathology, Harvard Medical School
    Speaker image for Bart Naughton
    Bart Naughton, Senior Director, Head of Global Discovery Computational Biology Dept, Eisai
  10. Can AI Discover Biology That Has Never Been Reported?
    Speakers
    Speaker image for Hiroyoshi Toyoshiba
    Hiroyoshi Toyoshiba, Director & CSO, Fronteo
  11. AI-Enabled High-Content Biology: Extracting Mechanism from Imaging and Multi-Omics
    Speakers
    Speaker image for Erin Edwards
    Erin Edwards, Director of Target Discovery Imaging, GSK
  12. Networking break
  13. Agentic AI for Experimental Design: Closed-Loop Biology in Target Validation
    Speakers
    Speaker image for Dmitriy Podolskiy
    Dmitriy Podolskiy, AI Drug Discovery Team Lead, Astellas Pharma
  14. Generative AI for Target Hypothesis Design: Moving Beyond Pattern Recognition
    Speakers
    Speaker image for Philip Tagari
    Philip Tagari, CSO, Insitro
  15. Drinks Reception
  16. Invite only dinners
Discovery Chemistry
  1. Registration
  2. Executive Panel: Scaling AI for Drug Design and Optimization
    Speakers
    Speaker image for Peter Clark
    Peter Clark, Global Head, Digital Chemistry & Design, Novo Nordisk
    Speaker image for Zara Sands
    Zara Sands, Associate Vice President in Computational Chemistry and Cheminformatics, Eli Lilly
  3. AI-Native Molecular Design: Generative Models, Agents and Closed-Loop Chemistry
    Speakers
    Speaker image for Richard Bonneau
    Richard Bonneau, VP and Global Head,AI for Drug Discovery, Roche
  4. Networking break
  5. AI-Powered Hit Discovery: Virtual Screening at Ultra-Large Scale
    Speakers
    Speaker image for Ian Storer
    Ian Storer, VP, Hit Discovery & Open Innovation, AstraZenca
  6. Structure-Guided Hit Expansion: From Binding Mode to Lead Series
    Speakers
    Speaker image for Jason Cross
    Jason Cross, Institute Director, Structural and Computational Drug Design, MD Anderson Cancer Centre
  7. Lunch
  8. AI-Accelerated Lead Optimization: Physics-Informed Multi-Parameter Molecular Design at Scale
    Speakers
    Speaker image for Chris Taylor
    Chris Taylor, Director of Applied Sciences, Promethium, by QC Ware
  9. AI for Retrosynthesis and Reaction Prediction
    Speakers
    Speaker image for Hubert Misztela
    Hubert Misztela, Director Data Science, Novartis
  10. Networking break
  11. Closed-Loop DMTA: Automation in Molecular Optimization
    Speakers
    Speaker image for Ash Jogalekar
    Ash Jogalekar, Senior Program Manager - Agentic AI for Science, Microsoft
  12. Decision-Grade ADME and Property Prediction
    Speakers
    Speaker image for Pat Walters
    Pat Walters, Chief Scientific Officer, OpenADMET
  13. Drinks Reception
  14. Invite only dinners
Data
  1. Registration
  2. Executive panel: Data considerations in the AI era
    Data
    Speakers
    Speaker image for Sophie Ollivier
    Sophie Ollivier, Chief Data Officer, R&D Data Office, Servier
    Speaker image for Haji Aref
    Haji Aref, Global Head of AI, Data and integration Architecture, AstraZeneca
  3. Semantics and improving the FAIR status of both systems and data
    Speakers
    Speaker image for Julia Fox
    Julia Fox, Director, Data & Analytics, Takeda
  4. Networking break
  5. Building AI-ready data platforms
    Speakers
    Speaker image for Dana Vuzman
    Dana Vuzman, Data Science & Translational Research, Wyss Institute
  6. New ways to do Agentic Data Science
    Speakers
    Speaker image for Eric Ma
    Eric Ma, Senior Principal Data Scientist, Moderna
  7. Lunch
  8. From Semantics to Scalable AI: Building the Data Foundations for Pharma R&D
  9. Building AI-Ready Data Infrastructure for Scalable Drug Development
    Speakers
    Speaker image for Helena Deus
    Helena Deus, Director Translational Medicine and Semantic Data Products, BMS
  10. Networking break
  11. Federated Learning to Build Models in Proprietary Data without Data Sharing
    Speakers
    Speaker image for Rajarshi Guha
    Rajarshi Guha, Senior Director - Data & Computational Sciences, Vertex
  12. Metadata standards and Semantic Consistency
  13. Drinks Reception
  14. Invite only dinners
HPC & AI infrastructure
  1. Registration
  2. Executive panel: Building AI-Ready R&D Infrastructure: From Pilot Environments to Enterprise Scientific Compute
    Speakers
    Speaker image for Faisal Khan
    Faisal Khan, Corporate Vice President, AI and Analytics, Novo Nordisk
  3. How Lambda is powering open source model training to unlock drug discovery breakthroughs
    Speakers
    Speaker image for Jan Domański
    Jan Domański, Senior ML Science Lead, OpenFold Consortium
    Speaker image for Chuan Li
    Chuan Li, Chief Scientific Officer, Lambda
  4. Hybrid Cloud for Scientific AI: Designing the Right Balance Between On-Prem, Cloud and Colocation
    Speakers
    Speaker image for Brian Wong
    Brian Wong, Director, Advanced Research Computing & Scaled AI/ML, BMS
  5. Networking break
  6. Scaling GPU Infrastructure for Drug Discovery: From Model Training to Scientific Compute
    Speakers
    Speaker image for Andrew Forman
    Andrew Forman, Global Discovery Solution Architect, Eisai US
  7. From Infrastructure to Enablement: Designing Scientific Platforms for Speed, Scale and Reproducibility
    Speakers
    Speaker image for Siddhesh Salunke
    Siddhesh Salunke, Tech Lead, HPC Engineering and Operations, Regeneron
  8. Lunch
  9. Scientific Foundation Models at Scale: What Infrastructure Changes When Models Become Core R&D Assets?
  10. Agentic AI in Production: Infrastructure, Guardrails and Failure Modes for Scientific Workflows
    Speakers
    Speaker image for Arvind Rao
    Arvind Rao, Professor, Computational Medicine and Bioinformatics, University of Michigan Ann Arbor
  11. Networking break
  12. AI + Physics at Scale: HPC Infrastructure for Molecular Simulation, Free Energy and Structure-Based Discovery
  13. Buying, Building or Partnering: The New Sourcing Model for Scientific Compute
    Speakers
    Speaker image for Rahul Mittal
    Rahul Mittal, Head of Strategy & Innovations, Dr. Reddy’s Laboratories North America
    Speaker image for Ben Ellingson
    Ben Ellingson, Director II, Scientific Informatics and Computation, Abbvie
  14. Drinks Reception
  15. Invite only dinners
Clinical Trials
  1. Registration
  2. Executive Panel - From AI Pilots to Scaled Impact in Clinical Trials
    Speakers
    Speaker image for Youssef Idelcaid
    Youssef Idelcaid, Head of AI Research Center (ARC) - Drug Development, Gilead
    Speaker image for Subha Madhavan
    Subha Madhavan, VP & Head of AI/ML & Digital Sciences, Pfizer
    Speaker image for Sandeep Burugapalli
    Sandeep Burugapalli, Head of Data Science, AstraZeneca
    Speaker image for Rui (Sammi) Tang
    Rui (Sammi) Tang, SVP, Global Head of Quantitative Sciences & Evidence Generation, Astellas Pharma
  3. Validation, Transparency, Audit - What Regulators Now Expect from AI
  4. Networking break
  5. Where AI meets Self-Advocacy
    Speakers
    Speaker image for Emily Lewis
    Emily Lewis, Artificial Intelligence and Innovation Lead, Digital Care Transformation, UCB
  6. AI, Regulation and Sustainability in Drug Development
    Speakers
    Speaker image for Maria Florez
    Maria Florez, Senior Consultant, Tufts
  7. Lunch
  8. Early-Phase AI Impact
    Speakers
    Speaker image for Shaan Gandhi
    Shaan Gandhi, VP Portfolio Alternative Value Enablement & Head of Partnerships, Pfizer
  9. From Data to Decision: Building AI-Enabled Infrastructure for Clinical Trial Execution
    Speakers
    Speaker image for Ritvik Khandelwal
    Ritvik Khandelwal, Data & Analytics Engineer, Praxis Medicines
  10. Networking break
  11. Self-Evolving AI Agents for Clinical Trial Planning
    Speakers
    Speaker image for Yi Hong
    Yi Hong, Associate Director, Clinical Data Science, Gilead
  12. Scaling agentic AI systems across R&D use cases
    Speakers
    Speaker image for Jeremy Zhang
    Jeremy Zhang, Senior Director, Data Science Solutions, Otsuka
  13. Drinks Reception
  14. Invite only dinners
TechOps
  1. Registration
  2. Executive Panel: Unlocking data for improved manufacturing outcomes
  3. From Data to Decisions - Enabling AI-Driven Manufacturing Through Process Monitoring Data Maturity
    TechOps
    Speakers
    Speaker image for Jack Prior
    Jack Prior, Head of Process Monitoring and Data/AI Strategy, Sanofi
  4. Networking break
  5. Cross functional lessons to improve AI deployment in process development and manufacturing
    TechOps
    Speakers
    Speaker image for Shruti Vij
    Shruti Vij, Director Innovation and AI strategy, Alexion
  6. AI roadmap for process development
    Speakers
    Speaker image for Yasser Jangjou
    Yasser Jangjou, Head of Drug Substance Process Engineering, Sanofi
  7. Lunch
  8. Applying AI, PAT and Real-Time Analytics in process development and manufacturing
    Speakers
    Speaker image for Preeya Bopanna
    Preeya Bopanna, Director MS&T Process Analytics and Laboratories, AstraZeneca
  9. Scalability and Quality Impact in AI in process development
    Speakers
    Speaker image for Dana Filoti
    Dana Filoti, Associate Director- EBE PDS&T Analytical Development & Digital Strategy, Abbvie
  10. Networking break
  11. Sandboxes, stewards and the governance gap
    TechOps
    Speakers
    Speaker image for Martin Kockx
    Martin Kockx, Principal Manufacturing Systems Engineer, Vertex
  12. ML Applications in Pharma Process Development
    Speakers
    Speaker image for Rose Yin
    Rose Yin, Senior Scientist, Merck
  13. Drinks Reception
  14. Invite only dinners
Discovery Biology
  1. Registration
  2. Assessing AI ROI in Clinically Anchored Target Identification and Validation
    Speakers
    Speaker image for Walid Kamoun
    Walid Kamoun, Vice President, Global Head of R&D Oncology, Servier
  3. Thinking in 10,000 Dimensions: Hyperdimensional Computing as the Bio-Native Layer of Drug Discovery
    Speakers
    Speaker image for Dirk Van Hyfte
    Dirk Van Hyfte, Chief Technology Officer, MindWalk Holdings Corp.
  4. From DeepFold to Deep Function: AI for Protein Interactions, Structure and Druggability Assessment
  5. Networking Break
  6. Multimodal Biomarker Discovery: AI for Early Disease Detection and Patient Stratification
    Speakers
    Speaker image for Vinayagam Arunachalam
    Vinayagam Arunachalam, Senior Director, Head of Computational Biology and Digital | Early Development and Biomarkers,, Takeda
    Speaker image for Maen Obeidat
    Maen Obeidat, Executive Director-Therapeutic Area Head, Biomarker Development, Translational Medicine, Novartis
  7. Uncovering Disease Heterogeneity with AI and Real-World Data
    Speakers
    Speaker image for Sabah Kadri
    Sabah Kadri, Senior Director, Head of Quantitative Insights Lab, Abbvie
  8. Lunch
  9. AI-enabled Biologics Design
    Speakers
    Speaker image for Shipra Malhotra
    Shipra Malhotra, Associate Director, AI/ML Biologics, Takeda
  10. Beyond the Hypothesis: How Systematic Data Exploration is Delivering Validated Oncology Targets
    Speakers
    Speaker image for Francisca Vazquez
    Francisca Vazquez, Director, Cancer Dependency Map (DepMap), Broad Institute of MIT and Harvard
  11. Networking Break
  12. Round tables
Discovery Chemistry
  1. Registration
  2. Measuring Real Impact: Is AI Improving Chemistry Success Rates?
    Speakers
    Speaker image for Stewart New
    Stewart New, Head of Computational Drug Discovery, Incyte
  3. The AI Integration Layer: How MCPs and APIs Are Reshaping the Drug Discovery Workflow
    Speakers
    Speaker image for Mark Davies
    Mark Davies, Head of Product, Life Sciences, Patsnap
  4. AI for Targeted Protein Degradation: PROTAC and Molecular Glue Design
    Speakers
    Speaker image for Scott Johnson
    Scott Johnson, Scientific Associate Director, Computer-Aided Drug Design, Bristol Myers Squibb
  5. Networking Break
  6. Optimizing Hit Finding: Balancing Physics-Based and Machine Learning Scoring Approaches
    Speakers
    Speaker image for Lingling Shen
    Lingling Shen, Senior Director of Computational Chemistry & Chemoinformatics, Eli Lilly
  7. On-chip Drug Discovery for the AI Era – Beyond 50+ Years of Microwell Plates
    Speakers
    Speaker image for Bharath Takulapalli
    Bharath Takulapalli, Founder & CEO, SPOC Biosciences
  8. AI for Biologic and Large Molecule Engineering
    Speakers
    Speaker image for Saber Meamardoost
    Saber Meamardoost, Associate Director AI/ML and Data Science, Boehringer Ingelheimm
  9. Lunch
  10. AI-Enabled Drug Repurposing and Indication Expansion
    Speakers
    Speaker image for Saroj Dhakal
    Saroj Dhakal, Senior Scientist, Sanofi
  11. Chemical Foundation Models and LLMs: From Molecular Generation to Reaction Intelligence
  12. Networking Break
  13. Round tables
Data
  1. Registration
  2. From Bio-Data Foundations to AI-Ready Target Discovery
    Speakers
    Speaker image for Michael Steinbaugh
    Michael Steinbaugh, Director, Data, AI, and Genome Sciences, Merck
  3. How We Enable Trust in AI
  4. Democratizing ML in Pharma R&D Building Infrastructure for Model Access, Versioning, and Interoperability
    Speakers
    Speaker image for Mark Aquino
    Mark Aquino, Principal Data Scientist II, Abbvie
  5. Networking Break
  6. Building the Data Aggregation Continuum Connecting Medical, Clinical, and Commercial Insights Across Pharma
    Speakers
    Speaker image for Bhaskar Dutta
    Bhaskar Dutta, Head of Digital Health, Alexion
  7. Privacy, consent and data control
  8. Lunch
  9. Data standardization for reuse and collaboration
  10. Legacy systems and modern data management
  11. Networking Break
  12. Round tables
HPC & AI infrastructure
  1. Registration
  2. What Comes After Discovery? Extending Scientific Compute Strategy Across Development and Operations
    Speakers
    Speaker image for Mark Adams
    Mark Adams, Partner, TwoBearCapital
  3. Real-Time Scientific Compute in the Lab: Building Infrastructure for Closed-Loop R&D
    Speakers
    Speaker image for Yves Fomekong Nanfack
    Yves Fomekong Nanfack, Head of AI/ML Research, Takeda
  4. Networking Break
  5. Data Infrastructure for Scientific AI: Moving, Storing and Serving Data at Scale
    Speakers
    Speaker image for Haji Aref
    Haji Aref, Global Head of AI, Data and integration Architecture, AstraZeneca
  6. Secure AI Inference at Scale: Building Trusted Infrastructure for Pharma R&D
    Speakers
    Speaker image for Philippe Assouline
    Philippe Assouline, Senior Director, Group Head of Technology & Enterprise Architecture, Teva Pharmaceticals
  7. Lunch
  8. From Predictive Models to Autonomous Discovery: Building the Scalable AI Infrastructure Driving Value in Biotech and Pharma
    Speakers
    Speaker image for Azim Dehghani Amirabad
    Azim Dehghani Amirabad, Principal Artificial Intelligence Scientist II, Johnson & Johnson Innovative Medicine
  9. Infrastructure Operating Models for AI-Enabled R&D: Who Owns the Platform, the Compute and the Risk?
    Speakers
    Speaker image for Ben Ellingson
    Ben Ellingson, Director II, Scientific Informatics and Computation, Abbvie
  10. Networking Break
  11. Round tables
Clinical Trials
  1. Registration
  2. Building the AI-Ready Data Layer
    Speakers
    Speaker image for James O'Keefe
    James O'Keefe, Head of Regulatory Information, Data and Systems, Takeda
  3. Embedding AI into Regulated Workflows - Validation, Governance & Lifecycle
  4. Networking Break
  5. Build, Buy, or Both? Navigating the AI Vendor Maze
  6. Post-Approval Reality - Keeping AI Compliant, Current & Inspection-Ready
  7. Lunch
  8. Cardinal Trials: An open-source data-driven clinical benchmarking platform
    Speakers
    Speaker image for Peter Henstock
    Peter Henstock, Machine Learning group leader, Incyte
  9. AI Credibility Assessment Framework for Regulated Environments
    Speakers
    Speaker image for Jagdeep Podichetty
    Jagdeep Podichetty, Senior Director GenAI/ML, Critical Path Institute
  10. Networking Break
  11. Round tables
TechOps
  1. Registration
  2. Decision enhancement to improve time to market
  3. ML Applications in Pharma Process Development
    Speakers
    Speaker image for Rose Yin
    Rose Yin, Senior Scientist, Merck
  4. Networking Break
  5. Biopharmaceutical Characterization in the Age of Artificial Intelligence
    Speakers
    Speaker image for Jared Auclair
    Jared Auclair, Dean, Northeastern University College of Professional Studies Director, Bioinnovation, Northeastern University
  6. Improving supply reliability and planning through better forecasting and process insight
  7. Lunch
  8. Maximizing value of digital infrastructure to support process optimization at scale
  9. Juding ROI from AI in manufacturing challenges
  10. Networking Break
  11. Round tables
Main Stage (Afternoon Sessions)
  1. Welcome & Chair's Opening Remarks
  2. C-suite Panel: The current state of play for AI deployment in pharma
    Speakers
    Speaker image for Kim Branson
    Kim Branson, Chief AI Officer, GSK
    Speaker image for Christopher Arendt
    Christopher Arendt, Chief Scientific Officer and Head of Research, Takeda
    Speaker image for Wade Davis
    Wade Davis, SVP Digital, Moderna
    Speaker image for Alex Condoleon
    Alex Condoleon, Chief Medical Affairs Officer, Medical Engagement and Impact, Pfizer
  3. The Agentic AI Shift: Revolutionizing R&D and Drug Discovery in Life Sciences
    Speakers
    Speaker image for Shweta Maniar
    Shweta Maniar, Global Director, Healthcare & Life Sciences, Google Cloud
  4. Foundation Models: Opportunities, Challenges, and What’s Next
    Speakers
    Speaker image for Joshua Meier
    Joshua Meier, Co-Founder, Chai Discovery
    Speaker image for Gabriele Corso
    Gabriele Corso, Co-Founder & CEO, Boltz
  5. Where the Industry is Today: Concerns, Surprises, Hope, and Hype
    Speakers
    Speaker image for Vin Singh
    Vin Singh, Founder and CEO, BullFrog AI
  6. Afternoon Break
  7. Keynote Presentation: Leveraging the AI Cloud for Drug Discovery
  8. Innovation Showcase & Reverse Pitches
    Speakers
    Speaker image for Nikhil Mutyal
    Nikhil Mutyal, Global Head of Search & Evaluation - Repsiratory & Immunology, AstraZeneca
    Speaker image for Parthiban Rajasekaran
    Parthiban Rajasekaran, Global Innovation Lead, Sanofi
    Speaker image for Shruti Vij
    Shruti Vij, Director Innovation and AI strategy, Alexion
    Speaker image for Elena Cecilia Diez
    Elena Cecilia Diez, Senior Director External Innovation, Johnson & Johnson
    Speaker image for Uli Stilz
    Uli Stilz, Senior Partner, Flagship Pioneering
  9. Innovation Showcase & Reverse Pitches
    Speakers
    Speaker image for Uli Stilz
    Uli Stilz, Senior Partner, Flagship Pioneering
    Speaker image for Elena Cecilia Diez
    Elena Cecilia Diez, Senior Director External Innovation, Johnson & Johnson
    Speaker image for Shruti Vij
    Shruti Vij, Director Innovation and AI strategy, Alexion
    Speaker image for Parthiban Rajasekaran
    Parthiban Rajasekaran, Global Innovation Lead, Sanofi
    Speaker image for Nikhil Mutyal
    Nikhil Mutyal, Global Head of Search & Evaluation - Repsiratory & Immunology, AstraZeneca
  10. Networking drinks
AI Platforms Morning Workshops
  1. Registration
  2. Workshop 1: Who Owns the Molecule? IP Strategy for AI-Generated Drug Assets
  3. Workshop 5: AI-Designed Antibodies: From Sequence Generation to Developability
  4. Lunch & 121 meetings
Genomics & Neurology Morning Workshops
  1. Registration
  2. Workshop 2: Bridging AI Discovery with Real-World Manufacturing Execution
  3. Workshop 6: From Data Management to AI Readiness: Preparing Pharma Data for Scalable Innovation
  4. Lunch & 121 meetings
Immuno-oncology Morning Workshops
  1. Registration
  2. Workshop 3: Quantum Computing for Drug Discovery: Hype, Reality, and Near-Term Use Cases
  3. Workshop 7: Next-Generation Pharma R&D: Digital Twins, Robotics and Real-Time Decision Systems
  4. Lunch & 121 meetings
Quantum Advances Morning Workshops
  1. Registration
  2. Workshop 4: Scaling AI Drug Discovery with Decision-Grade Knowledge Graphs
  3. Workshop 8: Real-Time Process Control in Pharma Manufacturing: From Inline Raman to Predictive Release
  4. Lunch & 121 meetings
Discovery Biology
  1. Registration
  2. Executive Panel - Operationalizing AI in Discovery Biology: From Target Hypothesis to Translational Decision-Making
    Speakers
    Speaker image for Richard Bonneau
    Richard Bonneau, VP and Global Head,AI for Drug Discovery, Roche
    Speaker image for Morten Sogaard
    Morten Sogaard, Senior Vice President, Head of Astellas Innovation Lab, Astellas Pharma
    Speaker image for Tharindi Hapuarachchi
    Tharindi Hapuarachchi, VP Platform Strategy & Operations, Generate Biomedicines
  3. Scaling Scientific Capacity: Giving Every Researcher a Team of AI scientists
    Speakers
    Speaker image for Marcos Camara
    Marcos Camara, Director of AI, Sigmatic Sciences
    Speaker image for Dave Cooney
    Dave Cooney, Head of GTM Strategy, Sigmatic Sciences
  4. AI for Mechanism-Driven Precision Medicine: Connecting Target Biology to Patient Context
    Speakers
    Speaker image for Emanuele de Rinaldis
    Emanuele de Rinaldis, VP, Global Head of Target, Disease & Systems Biology, Sanofi
  5. Networking break
  6. AI-Guided Functional Genomics: From CRISPR Screens to Causal Target Commitment
    Speakers
    Speaker image for Wen-Han Yu
    Wen-Han Yu, Director, Therapeutics & Translational Bioinformatics, Moderna
  7. AI Designs Faster Than the Lab Can Validate — Where Does Cell-Free Fit?
    Speakers
    Speaker image for Takashi Ebihara
    Takashi Ebihara, COO, GeneFrontier
  8. Lunch
  9. Mapping Disease Biology with Single-Cell and Spatial AI
    Speakers
    Speaker image for Ioannis Vlachos
    Ioannis Vlachos, Associate Professor of Pathology, Harvard Medical School
    Speaker image for Bart Naughton
    Bart Naughton, Senior Director, Head of Global Discovery Computational Biology Dept, Eisai
  10. Can AI Discover Biology That Has Never Been Reported?
    Speakers
    Speaker image for Hiroyoshi Toyoshiba
    Hiroyoshi Toyoshiba, Director & CSO, Fronteo
  11. AI-Enabled High-Content Biology: Extracting Mechanism from Imaging and Multi-Omics
    Speakers
    Speaker image for Erin Edwards
    Erin Edwards, Director of Target Discovery Imaging, GSK
  12. Networking break
  13. Agentic AI for Experimental Design: Closed-Loop Biology in Target Validation
    Speakers
    Speaker image for Dmitriy Podolskiy
    Dmitriy Podolskiy, AI Drug Discovery Team Lead, Astellas Pharma
  14. Generative AI for Target Hypothesis Design: Moving Beyond Pattern Recognition
    Speakers
    Speaker image for Philip Tagari
    Philip Tagari, CSO, Insitro
  15. Drinks Reception
  16. Invite only dinners
Discovery Chemistry
  1. Registration
  2. Executive Panel: Scaling AI for Drug Design and Optimization
    Speakers
    Speaker image for Peter Clark
    Peter Clark, Global Head, Digital Chemistry & Design, Novo Nordisk
    Speaker image for Zara Sands
    Zara Sands, Associate Vice President in Computational Chemistry and Cheminformatics, Eli Lilly
  3. AI-Native Molecular Design: Generative Models, Agents and Closed-Loop Chemistry
    Speakers
    Speaker image for Richard Bonneau
    Richard Bonneau, VP and Global Head,AI for Drug Discovery, Roche
  4. Networking break
  5. AI-Powered Hit Discovery: Virtual Screening at Ultra-Large Scale
    Speakers
    Speaker image for Ian Storer
    Ian Storer, VP, Hit Discovery & Open Innovation, AstraZenca
  6. Structure-Guided Hit Expansion: From Binding Mode to Lead Series
    Speakers
    Speaker image for Jason Cross
    Jason Cross, Institute Director, Structural and Computational Drug Design, MD Anderson Cancer Centre
  7. Lunch
  8. AI-Accelerated Lead Optimization: Physics-Informed Multi-Parameter Molecular Design at Scale
    Speakers
    Speaker image for Chris Taylor
    Chris Taylor, Director of Applied Sciences, Promethium, by QC Ware
  9. AI for Retrosynthesis and Reaction Prediction
    Speakers
    Speaker image for Hubert Misztela
    Hubert Misztela, Director Data Science, Novartis
  10. Networking break
  11. Closed-Loop DMTA: Automation in Molecular Optimization
    Speakers
    Speaker image for Ash Jogalekar
    Ash Jogalekar, Senior Program Manager - Agentic AI for Science, Microsoft
  12. Decision-Grade ADME and Property Prediction
    Speakers
    Speaker image for Pat Walters
    Pat Walters, Chief Scientific Officer, OpenADMET
  13. Drinks Reception
  14. Invite only dinners
Data
  1. Registration
  2. Executive panel: Data considerations in the AI era
    Data
    Speakers
    Speaker image for Sophie Ollivier
    Sophie Ollivier, Chief Data Officer, R&D Data Office, Servier
    Speaker image for Haji Aref
    Haji Aref, Global Head of AI, Data and integration Architecture, AstraZeneca
  3. Semantics and improving the FAIR status of both systems and data
    Speakers
    Speaker image for Julia Fox
    Julia Fox, Director, Data & Analytics, Takeda
  4. Networking break
  5. Building AI-ready data platforms
    Speakers
    Speaker image for Dana Vuzman
    Dana Vuzman, Data Science & Translational Research, Wyss Institute
  6. New ways to do Agentic Data Science
    Speakers
    Speaker image for Eric Ma
    Eric Ma, Senior Principal Data Scientist, Moderna
  7. Lunch
  8. From Semantics to Scalable AI: Building the Data Foundations for Pharma R&D
  9. Building AI-Ready Data Infrastructure for Scalable Drug Development
    Speakers
    Speaker image for Helena Deus
    Helena Deus, Director Translational Medicine and Semantic Data Products, BMS
  10. Networking break
  11. Federated Learning to Build Models in Proprietary Data without Data Sharing
    Speakers
    Speaker image for Rajarshi Guha
    Rajarshi Guha, Senior Director - Data & Computational Sciences, Vertex
  12. Metadata standards and Semantic Consistency
  13. Drinks Reception
  14. Invite only dinners
HPC & AI infrastructure
  1. Registration
  2. Executive panel: Building AI-Ready R&D Infrastructure: From Pilot Environments to Enterprise Scientific Compute
    Speakers
    Speaker image for Faisal Khan
    Faisal Khan, Corporate Vice President, AI and Analytics, Novo Nordisk
  3. How Lambda is powering open source model training to unlock drug discovery breakthroughs
    Speakers
    Speaker image for Jan Domański
    Jan Domański, Senior ML Science Lead, OpenFold Consortium
    Speaker image for Chuan Li
    Chuan Li, Chief Scientific Officer, Lambda
  4. Hybrid Cloud for Scientific AI: Designing the Right Balance Between On-Prem, Cloud and Colocation
    Speakers
    Speaker image for Brian Wong
    Brian Wong, Director, Advanced Research Computing & Scaled AI/ML, BMS
  5. Networking break
  6. Scaling GPU Infrastructure for Drug Discovery: From Model Training to Scientific Compute
    Speakers
    Speaker image for Andrew Forman
    Andrew Forman, Global Discovery Solution Architect, Eisai US
  7. From Infrastructure to Enablement: Designing Scientific Platforms for Speed, Scale and Reproducibility
    Speakers
    Speaker image for Siddhesh Salunke
    Siddhesh Salunke, Tech Lead, HPC Engineering and Operations, Regeneron
  8. Lunch
  9. Scientific Foundation Models at Scale: What Infrastructure Changes When Models Become Core R&D Assets?
  10. Agentic AI in Production: Infrastructure, Guardrails and Failure Modes for Scientific Workflows
    Speakers
    Speaker image for Arvind Rao
    Arvind Rao, Professor, Computational Medicine and Bioinformatics, University of Michigan Ann Arbor
  11. Networking break
  12. AI + Physics at Scale: HPC Infrastructure for Molecular Simulation, Free Energy and Structure-Based Discovery
  13. Buying, Building or Partnering: The New Sourcing Model for Scientific Compute
    Speakers
    Speaker image for Rahul Mittal
    Rahul Mittal, Head of Strategy & Innovations, Dr. Reddy’s Laboratories North America
    Speaker image for Ben Ellingson
    Ben Ellingson, Director II, Scientific Informatics and Computation, Abbvie
  14. Drinks Reception
  15. Invite only dinners
Clinical Trials
  1. Registration
  2. Executive Panel - From AI Pilots to Scaled Impact in Clinical Trials
    Speakers
    Speaker image for Youssef Idelcaid
    Youssef Idelcaid, Head of AI Research Center (ARC) - Drug Development, Gilead
    Speaker image for Subha Madhavan
    Subha Madhavan, VP & Head of AI/ML & Digital Sciences, Pfizer
    Speaker image for Sandeep Burugapalli
    Sandeep Burugapalli, Head of Data Science, AstraZeneca
    Speaker image for Rui (Sammi) Tang
    Rui (Sammi) Tang, SVP, Global Head of Quantitative Sciences & Evidence Generation, Astellas Pharma
  3. Validation, Transparency, Audit - What Regulators Now Expect from AI
  4. Networking break
  5. Where AI meets Self-Advocacy
    Speakers
    Speaker image for Emily Lewis
    Emily Lewis, Artificial Intelligence and Innovation Lead, Digital Care Transformation, UCB
  6. AI, Regulation and Sustainability in Drug Development
    Speakers
    Speaker image for Maria Florez
    Maria Florez, Senior Consultant, Tufts
  7. Lunch
  8. Early-Phase AI Impact
    Speakers
    Speaker image for Shaan Gandhi
    Shaan Gandhi, VP Portfolio Alternative Value Enablement & Head of Partnerships, Pfizer
  9. From Data to Decision: Building AI-Enabled Infrastructure for Clinical Trial Execution
    Speakers
    Speaker image for Ritvik Khandelwal
    Ritvik Khandelwal, Data & Analytics Engineer, Praxis Medicines
  10. Networking break
  11. Self-Evolving AI Agents for Clinical Trial Planning
    Speakers
    Speaker image for Yi Hong
    Yi Hong, Associate Director, Clinical Data Science, Gilead
  12. Scaling agentic AI systems across R&D use cases
    Speakers
    Speaker image for Jeremy Zhang
    Jeremy Zhang, Senior Director, Data Science Solutions, Otsuka
  13. Drinks Reception
  14. Invite only dinners
TechOps
  1. Registration
  2. Executive Panel: Unlocking data for improved manufacturing outcomes
  3. From Data to Decisions - Enabling AI-Driven Manufacturing Through Process Monitoring Data Maturity
    TechOps
    Speakers
    Speaker image for Jack Prior
    Jack Prior, Head of Process Monitoring and Data/AI Strategy, Sanofi
  4. Networking break
  5. Cross functional lessons to improve AI deployment in process development and manufacturing
    TechOps
    Speakers
    Speaker image for Shruti Vij
    Shruti Vij, Director Innovation and AI strategy, Alexion
  6. AI roadmap for process development
    Speakers
    Speaker image for Yasser Jangjou
    Yasser Jangjou, Head of Drug Substance Process Engineering, Sanofi
  7. Lunch
  8. Applying AI, PAT and Real-Time Analytics in process development and manufacturing
    Speakers
    Speaker image for Preeya Bopanna
    Preeya Bopanna, Director MS&T Process Analytics and Laboratories, AstraZeneca
  9. Scalability and Quality Impact in AI in process development
    Speakers
    Speaker image for Dana Filoti
    Dana Filoti, Associate Director- EBE PDS&T Analytical Development & Digital Strategy, Abbvie
  10. Networking break
  11. Sandboxes, stewards and the governance gap
    TechOps
    Speakers
    Speaker image for Martin Kockx
    Martin Kockx, Principal Manufacturing Systems Engineer, Vertex
  12. ML Applications in Pharma Process Development
    Speakers
    Speaker image for Rose Yin
    Rose Yin, Senior Scientist, Merck
  13. Drinks Reception
  14. Invite only dinners
Discovery Biology
  1. Registration
  2. Assessing AI ROI in Clinically Anchored Target Identification and Validation
    Speakers
    Speaker image for Walid Kamoun
    Walid Kamoun, Vice President, Global Head of R&D Oncology, Servier
  3. Thinking in 10,000 Dimensions: Hyperdimensional Computing as the Bio-Native Layer of Drug Discovery
    Speakers
    Speaker image for Dirk Van Hyfte
    Dirk Van Hyfte, Chief Technology Officer, MindWalk Holdings Corp.
  4. From DeepFold to Deep Function: AI for Protein Interactions, Structure and Druggability Assessment
  5. Networking Break
  6. Multimodal Biomarker Discovery: AI for Early Disease Detection and Patient Stratification
    Speakers
    Speaker image for Vinayagam Arunachalam
    Vinayagam Arunachalam, Senior Director, Head of Computational Biology and Digital | Early Development and Biomarkers,, Takeda
    Speaker image for Maen Obeidat
    Maen Obeidat, Executive Director-Therapeutic Area Head, Biomarker Development, Translational Medicine, Novartis
  7. Uncovering Disease Heterogeneity with AI and Real-World Data
    Speakers
    Speaker image for Sabah Kadri
    Sabah Kadri, Senior Director, Head of Quantitative Insights Lab, Abbvie
  8. Lunch
  9. AI-enabled Biologics Design
    Speakers
    Speaker image for Shipra Malhotra
    Shipra Malhotra, Associate Director, AI/ML Biologics, Takeda
  10. Beyond the Hypothesis: How Systematic Data Exploration is Delivering Validated Oncology Targets
    Speakers
    Speaker image for Francisca Vazquez
    Francisca Vazquez, Director, Cancer Dependency Map (DepMap), Broad Institute of MIT and Harvard
  11. Networking Break
  12. Round tables
Discovery Chemistry
  1. Registration
  2. Measuring Real Impact: Is AI Improving Chemistry Success Rates?
    Speakers
    Speaker image for Stewart New
    Stewart New, Head of Computational Drug Discovery, Incyte
  3. The AI Integration Layer: How MCPs and APIs Are Reshaping the Drug Discovery Workflow
    Speakers
    Speaker image for Mark Davies
    Mark Davies, Head of Product, Life Sciences, Patsnap
  4. AI for Targeted Protein Degradation: PROTAC and Molecular Glue Design
    Speakers
    Speaker image for Scott Johnson
    Scott Johnson, Scientific Associate Director, Computer-Aided Drug Design, Bristol Myers Squibb
  5. Networking Break
  6. Optimizing Hit Finding: Balancing Physics-Based and Machine Learning Scoring Approaches
    Speakers
    Speaker image for Lingling Shen
    Lingling Shen, Senior Director of Computational Chemistry & Chemoinformatics, Eli Lilly
  7. On-chip Drug Discovery for the AI Era – Beyond 50+ Years of Microwell Plates
    Speakers
    Speaker image for Bharath Takulapalli
    Bharath Takulapalli, Founder & CEO, SPOC Biosciences
  8. AI for Biologic and Large Molecule Engineering
    Speakers
    Speaker image for Saber Meamardoost
    Saber Meamardoost, Associate Director AI/ML and Data Science, Boehringer Ingelheimm
  9. Lunch
  10. AI-Enabled Drug Repurposing and Indication Expansion
    Speakers
    Speaker image for Saroj Dhakal
    Saroj Dhakal, Senior Scientist, Sanofi
  11. Chemical Foundation Models and LLMs: From Molecular Generation to Reaction Intelligence
  12. Networking Break
  13. Round tables
Data
  1. Registration
  2. From Bio-Data Foundations to AI-Ready Target Discovery
    Speakers
    Speaker image for Michael Steinbaugh
    Michael Steinbaugh, Director, Data, AI, and Genome Sciences, Merck
  3. How We Enable Trust in AI
  4. Democratizing ML in Pharma R&D Building Infrastructure for Model Access, Versioning, and Interoperability
    Speakers
    Speaker image for Mark Aquino
    Mark Aquino, Principal Data Scientist II, Abbvie
  5. Networking Break
  6. Building the Data Aggregation Continuum Connecting Medical, Clinical, and Commercial Insights Across Pharma
    Speakers
    Speaker image for Bhaskar Dutta
    Bhaskar Dutta, Head of Digital Health, Alexion
  7. Privacy, consent and data control
  8. Lunch
  9. Data standardization for reuse and collaboration
  10. Legacy systems and modern data management
  11. Networking Break
  12. Round tables
HPC & AI infrastructure
  1. Registration
  2. What Comes After Discovery? Extending Scientific Compute Strategy Across Development and Operations
    Speakers
    Speaker image for Mark Adams
    Mark Adams, Partner, TwoBearCapital
  3. Real-Time Scientific Compute in the Lab: Building Infrastructure for Closed-Loop R&D
    Speakers
    Speaker image for Yves Fomekong Nanfack
    Yves Fomekong Nanfack, Head of AI/ML Research, Takeda
  4. Networking Break
  5. Data Infrastructure for Scientific AI: Moving, Storing and Serving Data at Scale
    Speakers
    Speaker image for Haji Aref
    Haji Aref, Global Head of AI, Data and integration Architecture, AstraZeneca
  6. Secure AI Inference at Scale: Building Trusted Infrastructure for Pharma R&D
    Speakers
    Speaker image for Philippe Assouline
    Philippe Assouline, Senior Director, Group Head of Technology & Enterprise Architecture, Teva Pharmaceticals
  7. Lunch
  8. From Predictive Models to Autonomous Discovery: Building the Scalable AI Infrastructure Driving Value in Biotech and Pharma
    Speakers
    Speaker image for Azim Dehghani Amirabad
    Azim Dehghani Amirabad, Principal Artificial Intelligence Scientist II, Johnson & Johnson Innovative Medicine
  9. Infrastructure Operating Models for AI-Enabled R&D: Who Owns the Platform, the Compute and the Risk?
    Speakers
    Speaker image for Ben Ellingson
    Ben Ellingson, Director II, Scientific Informatics and Computation, Abbvie
  10. Networking Break
  11. Round tables
Clinical Trials
  1. Registration
  2. Building the AI-Ready Data Layer
    Speakers
    Speaker image for James O'Keefe
    James O'Keefe, Head of Regulatory Information, Data and Systems, Takeda
  3. Embedding AI into Regulated Workflows - Validation, Governance & Lifecycle
  4. Networking Break
  5. Build, Buy, or Both? Navigating the AI Vendor Maze
  6. Post-Approval Reality - Keeping AI Compliant, Current & Inspection-Ready
  7. Lunch
  8. Cardinal Trials: An open-source data-driven clinical benchmarking platform
    Speakers
    Speaker image for Peter Henstock
    Peter Henstock, Machine Learning group leader, Incyte
  9. AI Credibility Assessment Framework for Regulated Environments
    Speakers
    Speaker image for Jagdeep Podichetty
    Jagdeep Podichetty, Senior Director GenAI/ML, Critical Path Institute
  10. Networking Break
  11. Round tables
TechOps
  1. Registration
  2. Decision enhancement to improve time to market
  3. ML Applications in Pharma Process Development
    Speakers
    Speaker image for Rose Yin
    Rose Yin, Senior Scientist, Merck
  4. Networking Break
  5. Biopharmaceutical Characterization in the Age of Artificial Intelligence
    Speakers
    Speaker image for Jared Auclair
    Jared Auclair, Dean, Northeastern University College of Professional Studies Director, Bioinnovation, Northeastern University
  6. Improving supply reliability and planning through better forecasting and process insight
  7. Lunch
  8. Maximizing value of digital infrastructure to support process optimization at scale
  9. Juding ROI from AI in manufacturing challenges
  10. Networking Break
  11. Round tables

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