2026 AGENDA

Boston, 29 - 30 September 2026

Schedule

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Sep 298:50
Conference pass

Introductory remarks

Keynotes
Anna Abiola, Conference Director, Terrapinn Holdings Ltd
Sep 298:55
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Chair's remarks

Keynotes
Emily Gillen, Head of Global Data Partnerships, UCB
Sep 299:00
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Advancing the development of individualised genetic therapies

Keynotes
Sep 299:20
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Investment trends in AI

Keynotes
Moderator: Rana Lonnen, General Partner, Science Capital Ventures
Issa Kildani, Managing Partner, Founder, Ambrosia Ventures
Pooja Majmudar, Investment Partner, KELES Digital Health
Sarah Johnson, Partner, Advantary Capital Partners
Sep 2910:40
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Roundtables

Roundtables
Agentic AI in Drug Discovery
Stephanie Oestreich, Managing Director, Myeloma Investment Fund
AI-Driven Futures: Roadmap to Digital Transformation
Shabana Motlani, Director, USO PS QA & GxP Automation & Analytics, Novo Nordisk
Best ways to structure pre clinical data to de risk technologies before clinical trials
Building the Intelligent Health Ecosystem: Where Pharma Meets AI Powered by Real-World Data
From Complexity to Clarity: Single-Cell, Spatial, and Multi-Omics
Isha Parikh, Bioinformatician, Dana Farber Cancer Institute
Integrating automation and AI into product development
Danyel Evseev, Process Development Lead, Riddell Centre for Cancer Immunotherapy, University of Calgary
Investment Trends in 2026: AI is everywhere, where Capital Is Actually Going (and Why)? Real investor perspectives + live founder feedback
Sep 2911:40
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Chair's remarks

FAIR Data: Management, Storage and Architecture
Sree Chitoor, Chief Technology Officer, IAVI
Sep 2911:40
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Chair's remarks

Real World Evidence
Catherine Brownstein, Assistant Professor, Harvard Medical School
Sep 2911:40
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Chair's remarks

Large Language Models
Dr. Nick (Nemanja) Kovacev, Surgeon/Engineer, OrtoMD Polyclinic
Sep 2911:40
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Sep 2911:40
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Chair's remarks

AI in Drug Discovery and Development
Sep 2911:45
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AI-Driven Endpoints: Redefining Clinical Trials for the Next Decade

AI in Clinical Trials
Sep 2911:45
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AI-ready data, foundation models, and agents for clinical trial optimization

AI in Drug Discovery and Development
Etai Jacob, Head of Data Science and AI, Oncology R&D, AstraZeneca
Sep 2911:45
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Digital Transformation Is Not a Line, It's a Circle

Digital Transformation
Sep 2911:45
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Engineering Certainty and Clinical Safety: From Probabilistic to Deterministic AI

Large Language Models
Dr. Nick (Nemanja) Kovacev, Surgeon/Engineer, OrtoMD Polyclinic
Sep 2911:45
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Integration of real world evidence in genomics discovery

Real World Evidence
Catherine Brownstein, Assistant Professor, Harvard Medical School
Sep 2911:45
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Safety Data Management & AI Automation

FAIR Data: Management, Storage and Architecture
Vikalp Khare, Director, US Head of Safety Data Management, Otsuka Pharmaceutical
Sep 2912:05
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From insights to evidence: AI-enabled real-world intelligence for GLP-1 research

Real World Evidence
Spencer Andrei, PhD, Life Science Director, Truveta
Sep 2912:05
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Generative AI for the Lab: Streamlining Scientific Workflows Through Intelligent Integration

AI in Clinical Trials
Akhil Rachamadugu, Director, Life Sciences, ServiceNow
Sep 2912:05
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In Silico-Enabled Biologics: Transforming Molecular Biology Design Through Integrated Informatics

Digital Transformation
Veronica DeFelice, Director of Biologics, Sapio Sciences
Sep 2912:05
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RenSuper Workstation: An AI-Driven Antibody Discovery Platform From Target to Antibody Leads in Click

AI in Drug Discovery and Development
Icy Niu, Executive Director of BD & Marketing, Biocytogen
Sep 2912:25
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Accelerating trial selection with AI agents

Real World Evidence
Irfan Shah, Digital Ventures, Memorial Sloan Kettering Cancer Center
Sep 2912:25
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Sep 2912:25
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AI-powered programmable virtual humans for physiologically based drug discovery

AI in Drug Discovery and Development
Lei Xie, Professor, Northeastern University
Sep 2912:25
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Implementation of new age AI solutions and how to keep up with them

Digital Transformation
Sep 2912:25
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Multimodal Multi-Agent Solution for Sales Representatives

Large Language Models
Shihan He, Machine Learning Engineer, Novo Nordisk Inc.
Sep 2912:25
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The Data Dilemma: Storage, Management, and the Privacy Puzzle

FAIR Data: Management, Storage and Architecture
Joel Schwarz, Adjunct Law Professor, Cybersecurity and Privacy, Albany Law School
Sep 2912:45
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AI Built for Research: Accelerating Defensible Evidence from Real-World Data

Real World Evidence

Most AI isn't built for research. It's built for chat, for dashboards, for demos. In HEOR, that gap shows up fast. Fragmented data. Opaque models. Manual workflows that break the moment a regulator or peer reviewer asks how an answer was produced.

This session outlines a different approach: healthcare-native AI designed specifically for rigorous, defensible evidence. Three pieces, working together. A Healthcare Map of 60+ curated sources with validated representativeness across payers, regions, and care settings. A research-specific architecture with unified visit consolidation, 95%+ cost fill, and continuous enrollment, built so methodology holds up under scrutiny. And an AI engine with visible code generation, stepwise validation, and explicit articulation of every limitation.

The result is RWE that's faster, scalable, and trusted. Cohort identification compressed from hours to minutes. Descriptive statistics that used to take months. Industry standard R-package integration for inferential methods like propensity score matching, survival modeling, and weighted analyses, all version-controlled and replicable. Ready for the moments that matter most: market access discussions, internal strategic decision making, peer reviewed publications, and guideline directed medical therapy for real patients.

Key Learning Objectives

By the end of this session, attendees will be able to:

  • Recognize why most AI approaches fail to meet the standards of HEOR research, including issues of data quality, transparency, and scientific rigor.
  • Understand the three integrated components of healthcare-native AI: a comprehensive data foundation, a research-specific architecture, and an AI engine built for auditability.
  • Map each safeguard to its purpose: visible code for auditable methods, cost imputation for unbiased economics, representativeness for generalizability.
  • Identify HEOR use cases (feasibility, cohort construction, treatment patterns, cost and outcomes analyses) where AI built for research can compress timelines from months to minutes while preserving scientific integrity.
Hannah Barman, Principal Product Strategy Manager, Komodo Health
Sep 2912:45
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Digital Transformation in Pharma Is Missing a Layer: Validation, Trust, and Submission Readiness

Digital Transformation
Sep 2912:45
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Sponsored presentation

FAIR Data: Management, Storage and Architecture
Deepak Rajendran, Senior Manager, Zifo Technologies Inc
Sep 2913:05
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A data science ecosystem for pharma R&D

FAIR Data: Management, Storage and Architecture
Daniel Gusenleitner, Mission Lead of the Pharma R&R Data Science Ecosystem, Bayer
Sep 2913:05
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A data science ecosystem for pharma R&D

FAIR Data: Management, Storage and Architecture
Daniel Gusenleitner, Mission Lead of the Pharma R&R Data Science Ecosystem, Bayer
Sep 2913:05
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Digital transformation in biotherapeutics discovery

Digital Transformation
Alexander Horspool, Associate Director of Data and Lab Automation, Boehringer Ingelheim
Sep 2913:05
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DNA Methylation-Mediated Epigenetic Adaptation Promotes Cellular Resilience In AML

Real World Evidence
Manna Ahmed, Assistant Research Professor - Manager of The Genomics Resource Facility, Fox Chase Cancer Center
Sep 2913:05
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Navigating launch challenges in rare disease markets

AI in Drug Discovery and Development
Soumavo Sarkar, Director, Novartis
Sep 2913:05
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Physics-Informed Large Language Models for Biologics: Applying Nuclear Engineering Rigor to AI Safety and Reliability

Large Language Models
Daya Shankar, Dean, School of Sciences and Founder SuktiAI, Woxsen University
Sep 2913:05
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Virtual patient generation leveraging RWD to expedite clinical development

AI in Clinical Trials
Yilin Xu, Head of clinical data analytics, AbbVie
Sep 2913:25
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The Agent Did It. Now Can You Prove It? Cryptographic Traceability for AI in Clinical Workflows

Startup Pitches
Alistair Dootson, Head Life Sciences, EQTY Life Sciences
Tina Morrison, Head of Life Sciences, EQTY Lab
Sep 2913:40
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Responsible AI by Design: How to Launch Agentic AI in Regulated Biotech

Startup Pitches
Atika Kumar, Founder, Wiztree Consulting
Sep 2913:55
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AI-Driven Insights from Every single Patient

Startup Pitches
Mattia Marco Caruson, Managing Director, mama health
Sep 2914:10
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Using Multi-Modal patient data for Reinforcement Learning and Digital Twins for Biology Workflows

Startup Pitches
Sumit Sinha, Founder & CEO, OmicsBank
Sep 2914:25
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Chair's remarks

AI in Drug Discovery and Development
Sep 2914:25
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Chair's remarks

FAIR Data: Management, Storage and Architecture
Lori Hoepner, Asst Professor, SUNY DOWNSTATE
Sep 2914:25
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Chair's remarks

AI in Clinical Trials
Soumavo Sarkar, Director, Novartis
Sep 2914:25
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Chair's remarks

AI in Clinical Trials
Soumavo Sarkar, Director, Novartis
Sep 2914:25
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Chair's remarks

Real World Evidence
Michael Liebman, Managing Director, IPQ Analytics, LLC
Sep 2914:30
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AI based first draft document authoring in support of clinical trials

AI in Drug Discovery and Development
Chris Willis, Director, Research Business Insights & Technology, Bristol Myers Squibb
Sep 2914:30
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Development Assistant: Empowering AZ with Interoperable, Context‑Driven Insights

AI in Clinical Trials
Betsy luo, IT Business Analyst, AstraZeneca
Sep 2914:30
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Digital Transformation in Biomedical Research: Challenges and Opportunities

Digital Transformation
Jason Beckwith, Professor, University of Dundee
Sep 2914:30
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Large Language Models in Practice: From Patient Support to Precision Cancer Care

Large Language Models
Omer Alis, Director of Artificial Intelligence, Northeastern University
Sep 2914:30
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Multi-cancer Early Detection (MCED)

Real World Evidence
Samir Hanash, Director, Red And Charline Mccombs Institute For The Early Detection And Treatment Of Cancer, MD Anderson Cancer Center
Sep 2914:30
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Pitfalls and Best Practices: Notes from the (research) field

FAIR Data: Management, Storage and Architecture
Lori Hoepner, Asst Professor, SUNY DOWNSTATE
Sep 2914:50
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Untangling the RWD Knot: An LLM Workflow for Assessing IBD Clinical Notes To Characterize Treatment Response

AI in Drug Discovery and Development
Leeland Ekstrom, CEO & Co-Founder, NashBio
Sep 2915:10
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Agentic AI for biotech competitive intelligence

Large Language Models
Daniel de Moraes Branco, Senior Director Corporate Development, Latin America Medical Affairs Lead, Medicinia
Sep 2915:10
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AI in Drug Development and Discovery - an investors perspective

AI in Drug Discovery and Development
Colby Kash, Ceo, Camelot BioCapital
Sep 2915:10
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Digital innovations driving clinic trials efficiencies

AI in Clinical Trials
Naomi Fried, CEO, Pharmstars
Sep 2915:10
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From Data Custodian to Data Product Leader: Building FAIR and AI-Ready Clinical Data Platforms for Precision Trials

FAIR Data: Management, Storage and Architecture
Kayure Patel, Senior Data Sciences Product Leader, Genentech/Roche
Sep 2915:10
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HEART: Healthcare Enabled by AI in Real Time

Real World Evidence
Qingchu Jin, Research Scientist, Northeastern University
Sep 2915:10
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Securing the Agentic Future: How Privacy and Trust Drive Real Digital Transformation

Digital Transformation
Preetha Ram, Managing Partner, Pier 70 Ventures
Sep 2915:30
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The Skills Behind the Strategy: Preparing Today's Workforce for Digital Transformation

Digital Transformation
Uwe Hohgrawe, Associate Dean Global Learner Access, Strategic Partnerships and AI, Northeastern University
Sep 2915:50
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AI ML for drug discovery

AI in Drug Discovery and Development
Srijit Seal, Visiting Researcher, Broad Institute of MIT and Harvard
Sep 2915:50
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Applications of biological foundation models to accelerate clinical trials

AI in Clinical Trials
Neil Pfister, Assistant Professor; Head of AI in Precision Medicine Research Group, University of Alabama at Birmingham
Sep 2915:50
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Digital transformation within medical and scientific communications within pharma and biotech

Digital Transformation
Sep 2915:50
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Diving deeper into indications

FAIR Data: Management, Storage and Architecture
Maureen Stark, Biospecimen Senior Specialist - Data Mgt, Roche
Sep 2915:50
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Medical information response agent

Large Language Models
Chandni Patel, Director, Medical Information, Novo Nordisk
Sep 2915:50
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The Human Heart of High-Tech Care: Reimagining the Nurse Navigator in the Age of Precision Medicine

Real World Evidence
    the field of oncology continues to explorecutting-edge breakthroughs in AI, genomic sequencing, and digital transformation, it’s easy to lose sight of the human being at the center—the patient. While industry leaders focus on the data and the drug, the Oncology Nurse Navigator (ONN) never loses sight of the person behind the diagnosis. This presentation brings the ONN’s story to life as the “human translator” of biotechnology—turning intimidating data into understandable choices, calming fears, and ensuring that the promise of precision medicine is matched by genuine, personalized support.

    Objectives:By the end of this presentation, participants will be able to:

  • Identify the three primary psychological and logistical barriers patients face when transitioning from standard care to high-complexity interventions.

  • Analyze how the navigator role mitigates disparities in access to precision medicine by addressing social determinants of health (SDOH) that digital platforms often overlook.

  • Formulate a model for integrating biotech stakeholders (pharma, diagnostics, and tech) with the nursing navigation team to ensure innovations enhance, rather than disrupt, the patient experience

Sep 2916:40
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Chair's remarks

AI in Drug Discovery and Development
Pooja Majmudar, Investment Partner, KELES Digital Health
Sep 2916:40
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Chair's remarks

Large Language Models
Jake Chen, Endowed Professor and Director, University of Alabama at Birmingham
Sep 2916:40
Conference pass

Chair's remarks

Digital Transformation
Shabana Motlani, Director, USO PS QA & GxP Automation & Analytics, Novo Nordisk
Sep 2916:40
Conference pass

Chair's remarks

FAIR Data: Management, Storage and Architecture
Sep 2916:40
Conference pass

Chair's remarks

AI in Clinical Trials
Sep 2916:40
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Chair's remarks

Real World Evidence
Michael Liebman, Managing Director, IPQ Analytics, LLC
Sep 2916:45
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Bridging the gap between FEMtech and FEMhealth

Real World Evidence
Michael Liebman, Managing Director, IPQ Analytics, LLC
Sep 2916:45
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Leveraging Data and AI to transform Research, Care, and Operations at Sylvester Comprehensive Cancer Center

Digital Transformation
Vasileios Stathias, Assistant Director, Data Science, Sylvester Comprehensive Cancer Center
Sep 2916:45
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LLMs for Medical Affairs: Content, Engagement, and Meaningful Scientific Impact for HCPs

Large Language Models
John Wright, Technology Director, Global Medical Affairs, amgen
Sep 2916:45
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Protecting Our Cognitive Edge: The Paradox of AI Offloading vs. Skills Atrophy

AI in Clinical Trials
Sep 2916:45
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ROI on AI implantation in drug discovery

AI in Drug Discovery and Development
Pooja Majmudar, Investment Partner, KELES Digital Health
Sep 2917:05
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Building Contextual Layer for Agentic Framework for Clinical Data Science

Large Language Models
Mukul Virmani, Director, Clinical Data Science, AI Research Center, Gilead Sciences, Inc.
Sep 2917:05
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How Novo Nordisk Transformed Customer targeting using AI

Digital Transformation
Sai Rithvik Kanakamedala, Data Scientist, Novo Nordisk
Sep 2917:05
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Robust AI

AI in Clinical Trials
Faisal Khan, Corporate Vice President AI and Analytics, Novo Nordisk
Sep 2917:25
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AI-Powered Trials: Unlocking Leadership in Clinical Innovation

Real World Evidence
Yilin Xu, Head of clinical data analytics, AbbVie
Hong Truong, Principal, Define Ventures
Sep 2917:25
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Better ways to recruit and retain patients

AI in Clinical Trials
Faisal Khan, Corporate Vice President AI and Analytics, Novo Nordisk
Shahanaz Rahman, Senior Clinical Trials Manager, ITM
Sep 2917:25
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Digital health and AI, what does the future hold?

Digital Transformation
Moderator: Naomi Fried, CEO, Pharmstars
Omer Alis, Director of Artificial Intelligence, Northeastern University
Sep 2917:25
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From AI Experiments to Enterprise Impact: What Does It Really Take to Operationalize AI in Pharma

Large Language Models
Chandni Patel, Director, Medical Information, Novo Nordisk
Othel Rolle, Senior Manager, Digital Research & Innovation, Johnson & Johnson
Sep 2917:25
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The Health Data Trilemma: Privacy, National Security, and Borderless dataflows

FAIR Data: Management, Storage and Architecture
Moderator: Joel Schwarz, Adjunct Law Professor, Cybersecurity and Privacy, Albany Law School
Sep 2917:25
Conference pass

Using AI in the drug development and discovery process

AI in Drug Discovery and Development

Create your personal agenda –check the favourite icon

Sep 308:50
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Introductory remarks

Keynotes
Anna Abiola, Conference Director, Terrapinn Holdings Ltd
Sep 308:55
Conference pass

Chair's remarks

Keynotes
Christina Waters, Chief Executive Officer, RARE Science
Sep 309:00
Conference pass

Biotech in the balance

Keynotes
Jeremy Levin, Executive Chairman, Ovid Therapeutics
Sep 3011:40
Conference pass

Chair's remarks

FAIR Data: Management, Storage and Architecture
Sep 3011:40
Conference pass
Sep 3011:40
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Chair's remarks

Bioinformatics + InSilico R&D
Qingchu Jin, Research Scientist, Northeastern University
Sep 3011:40
Conference pass
Sep 3011:45
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AI in medical authoring and regulatory intelligence

AI in Clinical Trials
Sree Chitoor, Chief Technology Officer, IAVI
Sep 3011:45
Conference pass

From High-Throughput Pipelines to FAIR Data: A Storage Strategy

FAIR Data: Management, Storage and Architecture
Sep 3011:45
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Harnessing the Power of Generative AI: Unlocking Insights from Real-World Data for Data-Driven Decisions in Pharma R&D

Real World Evidence
Sep 3011:45
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How AI can help early stage companies in drug development

AI in Drug Discovery and Development
Lou Kassa, CEO, Pennsylvania Biotechnology Center
Sep 3011:45
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When Quantum Meets Pharma: Inside the Race to Design Drugs Atom by Atom

Bioinformatics + InSilico R&D
Sep 3012:25
Conference pass

Building Bridges: Developing a Common Omics Data Platform at AbbVie

FAIR Data: Management, Storage and Architecture
Sep 3012:25
Conference pass

Multi-modal real world data foundation models: Challenges & opportunities

AI in Drug Discovery and Development
Janie Shelton, Director, Translational Epidemiology, Bristol Myers Squibb
Sep 3012:25
Conference pass

Patient advocate journey through trials

AI in Clinical Trials
Ella Balasa, Patient Engagement Consultant, Patient Advocate
Sep 3012:25
Conference pass

The Convergence of Patient Safety and Real-World Evidence in a Data-Driven Era

Real World Evidence
Osamagbe Woghiren, Senior Manager, QPPV Office & International Pharmacovigilance Operations, UCB
Sep 3012:25
Conference pass

Virtual cell modelling

Bioinformatics + InSilico R&D
Jake Chen, Endowed Professor and Director, University of Alabama at Birmingham
Sep 3012:45
Conference pass

AI to select biomarker candidates

AI in Drug Discovery and Development
Fernanda Cerqueira, Senior Associate Director, Michael J Fox Foundation for Parkinson's Research
Sep 3012:45
Conference pass

Leveraging Real-World Data and AI for the Evaluation of Clinical Trial Efficacy.

AI in Clinical Trials
Sep 3013:05
Conference pass

From Silos to FAIR: Driving Data Strategy in Research and Development

FAIR Data: Management, Storage and Architecture
Sep 3013:05
Conference pass

How to integrate multi-omics

Bioinformatics + InSilico R&D
Yi-Hsiang Hsu, Director and associate Professor, Broad Institute of MIT and Harvard
Sep 3013:05
Conference pass

Leveraging RWD in the Drug Development Process

Real World Evidence
Thomas Dougherty, Data Science & AI Innovative Partnership Lead, Novo Nordisk
Sep 3013:05
Conference pass

Mind the Gap: How Artificial Intelligence Can Strengthen the Clinical Trial Enterprise from Protocol Design to External Controls

AI in Clinical Trials
Alexander Sherman, Director, Center for Innovation and Bioinformatics, Mass General Hospital, Harvard Medical School
Sep 3013:05
Conference pass

Revolutionizing immunotherapy through patient-centric therapeutic hardware platform, ATT-AI

AI in Drug Discovery and Development
David Sherris, ceo, Attivare Therapeutics
Sep 3013:25
Conference pass

From Synopsis to Shortlist in Seconds: AI-Powered Site Selection & Feasibility

Startup Pitches
Dylan Wallace, Director of Business Development, Ryght, Inc.
Sep 3013:40
Conference pass

From Innovation to Revenue: Fixing the Commercial Gap in Science-Led

Startup Pitches

Strong innovation doesn’t automatically lead to commercial success. Many science-led companies struggle to translate capability into revenue. This session introduces a platform that identifies commercial gaps and turnsinnovation into a clear, execution-ready growth strategy.

Nandy Thaver, Director, Thaver Consulting
Sep 3014:25
Conference pass

Chair's remarks

AI in Drug Discovery and Development
Michael Liebman, Managing Director, IPQ Analytics, LLC
Sep 3014:25
Conference pass

Chair's remarks

FAIR Data: Management, Storage and Architecture
Sep 3014:25
Conference pass
Sep 3014:30
Conference pass

AI influenced nano technology in drug discovery and development

AI in Drug Discovery and Development
Beauty Pandey, Associate Dean & Associate Professor, Woxsen University
Sep 3014:30
Conference pass

Detecting Dengue, Chikungunya, and Oropouche Viruses Using Radio Frequency Waves and Machine Learning.

Bioinformatics + InSilico R&D
Omer Alis, Director of Artificial Intelligence, Northeastern University
Sep 3014:30
Conference pass

Driving field medical innovation

Real World Evidence
Karuna Kantor, Director, Field Medical, Novo Nordisk
Sep 3014:50
Conference pass

How AI is used to support the three R’s in drug discovery

AI in Drug Discovery and Development
Sep 3015:10
Conference pass

An ensemble method for robust labelling of single-cell RNA-seq data

Bioinformatics + InSilico R&D
Sep 3015:10
Conference pass

Preparing the Biotech Workforce of the Future: The Role of Academic-Industry Partnerships

Real World Evidence
Sep 3015:10
Conference pass

Regulatory affairs, The regulations and guidance globally

AI in Drug Discovery and Development
Jia Huang, Associate Director, Merck
Sep 3015:50
Conference pass

Pediatric Precision Medicine

Keynotes
Wendy Chung, Chief, Department of Pediatrics, Boston Children's Hospital
last published: 18/May/26 12:35 GMT

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