AWS Life Sciences Symposium
Built for Life Sciences: AI-powered Innovations Transforming the Pharmaceutical Value Chain
Tuesday, May 6, 2025
Sheraton Times Square Hotel
811 7th Avenue, W 53rd St
New York, NY 10019
Thank you for your interest. The event is at capacity and not accepting new registrations.
From Molecule to Market: Life Sciences Transformation in Action
In today’s AI-driven landscape, compromise is off the table. Life sciences organizations are harnessing advanced AI to fuel transformative, step-change innovations—all while prioritizing security and compliance. The impact? Accelerated time to market for breakthrough therapeutics and substantial cost savings.
Join us in New York City to learn how AWS customers are:
- Accelerating drug discovery by using autonomous AI agents, biology foundation models, and lab-in-the-loop systems
- Re-imagining clinical trials using AI for protocol design, document submission, real-world data discovery, and rapid analytics
- Modernizing commercial operations by reducing time-to-market and unlocking data-driven insights for personalized, real-time patient engagement
- Unlocking new manufacturing and supply chain optimizations
The new era of life sciences innovation is here - reserve your spot today.
For the First Time Ever
Specialized technical sessions will run in parallel to executive tracks, exploring the fundamental architectural considerations behind breakthrough data and AI innovations, and providing practical implementation guidances for builders.
Hear from industry leaders, including:
2025 Speakers Include
Dan Sheeran, General Manager, Healthcare and Life Science, AWS
Dr. John Marioni, Senior Vice President and Head of Computational Sciences, Genentech Research and Early Development (gRED), Roche Genentech
Rich Bonneau, Vice President of Machine Learning for Drug Discovery, Genentech Computational Sciences
Jean-Philippe Vert, Chief R&D Officer, Owkin
Zelda Mariet, Co-founder & Principal Research Scientist, Bioptimus
Justin Scheer, Vice President, In Silico Discovery, Johnson & Johnson Innovative Medicine
John Karanicolas, Head of Computational Drug Discovery, AbbVie
Robin Roehm, CEO and Co-Founder, Apheris
Marjorie Waters, AVP, Clinical and Real World Evidence IT, Merck
Praveen Haridas, WorldWide Real World Data Lead, AWS
Arnaub Chatterjee, President and GM - Life Sciences, Ecosystem, Datavant
Michael Morelli, Vice President, Platforms & Products - AI/ML, Data & Analytics, Pfizer
Jennifer VanCamp, Vice President R&D Data Analytics, AbbVie
Abhishek Pandey, Global Lead and Principal Machine Learning Scientist, AbbVie
Dharmesh Thakkar, Head of Technology & Product Group Leader - Commercial Operations, Data & Analytics, Johnson & Johnson Innovative Medicine
Ujjwal Ratan, Leader, ML and Data Science, Healthcare and Life Sciences, AWS
Raveen Sharma, Managing Director, Healthcare & Life Sciences, Deloitte
Janakiraman Gopinath, Executive Director, Merck
Paul Petraro, Executive Director, Global Head Real World Evidence Analytic (RWE) Center of Excellence, Boehringer Ingelheim
Faiz Merchant, Principal, ZS
Emmanuel Frenehard, Executive Vice President, Chief Digital Officer, Sanofi
Pradeep Yathira, Global Head of G&A, Commercial Analytics, and Cloud, Gilead
Matt Studney, SVP, Merck Research Labs (MRL) Information Technology
Douglas Bellin, Business Development Executive, Industrie 4.0 and Smart Factory, AWS
Steve Rommeney, VP, Business Insights & Analytics, Data Strategy and Democratization, Eli Lilly
Matt Rich, Principal, PwC
Vaishali Goyal, Senior Director - Business Partner, Patient Safety, AstraZeneca
Noah Hoh, Director, Digital Innovation | Strategy, Program & Portfolio Operations, Novartis
Dave Tudor, Managing Director, Biologics & Quality, Medicines Manufacturing Innovation Centre
Wincy Fung, AVP, Digital Services, Digital MMD, Merck
Greg Cunningham, Senior Director, Real World Data, Eli Lilly
Tara Helm, VP Life Sciences Cloud Strategy, Salesforce
Who should attend
The symposium's specialized tracks offer deep insights, hands-on learning, and actionable strategies for:
- Business leaders entrusted with transforming research, trials, manufacturing, and commercial operations with data and AI
- Technology leaders working to establish the robust cloud foundations to enable business teams
- Engineers, architects, and data scientists seeking hands-on learning from AWS experts to master building on AWS with proven frameworks, methodologies, and architectural designs
What past attendees said
“Everything you need to know about Gen AI and R&D all in one day”
CIO, top five pharmaceutical company
“The event did an amazing job of stating the problem, explaining the approach, and walking through exactly how to solve it with the outcome. This is what I can take back to my business.”
Senior Director, RWD, Major US Biopharma
“The sessions were highly relevant. I am going back and checking the usage of these genAI and ML services at my organization to bring it all together.”
VP of AI/ML & Digital Health
“It’s not often I go to an event where every talk is relevant and interesting. Thank you for including me.”
Co-founder And Chief Scientific Officer, Biotech Startup
“The event was a right mix of knowledge sharing and networking.”
CEO, Biotech Startup
Why attend
Innovation thrives on collaboration. That's why our carefully curated agenda is designed to provide a tailored learning experience for various roles and interests, whether you are a business leader driving your organization’s transformation with AI, or a technical builder tackling complex architectural challenges.
Curated domain tracks for executives:
- Select your specialized path from four comprehensive domain tracks: drug discovery, clinical trials, manufacturing, or commercialization
- Discover AWS’ latest purpose-built industry solutions, plus exclusive offerings from AWS partners to accelerate time-to-value
- Network with your peers, AWS experts, and industry thought-leaders, in a relaxed setting designed for authentic collaboration
Expert-led technical deep-dive track for builders:
- Learn the core architecture principles behind the latest AI and data advancements from AWS, including agentic frameworks, real-world data tooling, orchestrating foundation models, and more.
- Join interactive, hands-on learning workshops as a part of our post-event day programming and get actionable insights for organizational implementation
- Connect with builders in life sciences on the same cloud journey as yours
Agenda
Registration and Check-in: 8:00 - 9:30 AM ET
Plenary Innovation Keynote: 9:30 - 11:00 AM ET
Coffee & Networking: 11:00 - 11:30 AM
Breakout Tracks for Executives: 11:30 AM - 3:30 PM ET
-
Track 1: Drug Discovery
- Accelerating Target Identification with Generative AI Agents and Integrated Lab Workflows
- 11:30 AM - 12:00 Noon
- Presented by: Genentech
- Molecule Drug Design Using Biological Foundation Models
- 12:00 Noon - 12:30 PM
- Presented by: AbbVie
- Lunch
- 12:30 - 1:30 PM
- How Generative AI is Revolutionizing Biology
- 1:30 - 2:00 PM
- Presented by: Owkin and Bioptimus
- Federated Learning: Driving Collaborative Innovation While Preserving Data Sovereignty
- 2:00 - 2:30 PM
- Panel featuring: Johnson & Johnson, Apheris, and AbbVie
- Coffee
- 2:30 - 3:00 PM
- 2:30 - 3:00 PM
- Lab of the Future: Enhancing Discoveries with Continuous Experimental Feedback
- 2:30 - 3:00 PM
- Presented by: Deloitte
- Accelerating Target Identification with Generative AI Agents and Integrated Lab Workflows
-
Track 2: Clinical Trials
- Development Assistants and Generative AI Agents in Clinical Trials: Streamlining Operations and Improving Outcomes
- 11:30 - 11:50 AM
- Presented by: AstraZeneca
- 11:30 - 11:50 AM
- How to be a successful early adopter of Agents
- 11:50 AM - 12:05 PM
- Presented by: Faculty
- AI-enhanced clinical trials: From site selection to patient engagement
- 12:05 - 12:30 PM
- Presented by: Novartis
- Lunch
- 12:30 - 1:30 PM
- Unlocking Real-World Data and Evidence for Faster, Data-Driven Clinical Trial Insights
- 1:30 - 2:30 PM
- Presented by: AWS, Datavant, Boehringer Ingelheim, Eli Lilly
- Coffee
- 2:30 - 3:00 PM
- 2:30 - 3:00 PM
- A Modern Clinical Data Platform: Ensuring Patient Safety and Accelerating Drug Development
- 3:00 - 3:30 PM
- Presented by: Merck
- Development Assistants and Generative AI Agents in Clinical Trials: Streamlining Operations and Improving Outcomes
-
Track 3: Manufacturing
- Lessons from Amazon’s Supply Chain: Digital Innovations to Meet the Delivery Promise
- 11:30 AM - 12:30 PM
- Presented by: Amazon
- Lunch
- 12:30 - 1:30 PM
- Redefining autonomous pharmaceutical manufacturing with cutting-edge digital technologies
- 1:30 - 1:50 PM
- Presented by: Medicines Manufacturing Innovation Centre, UK-CPI
- From Reactive to Predictive: AI-Enabled Quality Control in Pharmaceutical Production
- 1:50 - 2:10 PM
- Presented by: PwC and Eli Lilly
- Unlocking pharmaceutical manufacturing quality control with AI
- 2:10 - 2:40 PM
- Presented by: Pfizer
- Coffee 2:40 - 3:10 PM
- Visual Factory for Metrics and KPI Tracking in Pharma Manufacturing
- 3:10 - 3:30 PM
- Presented by: Merck
- Lessons from Amazon’s Supply Chain: Digital Innovations to Meet the Delivery Promise
-
Track 4: Commercialization
- Insight-driven sales excellence: Optimizing sales productivity with the sales concierge
- 11:30 AM - 12:00 Noon
- Presented by: ZS and Gilead
- Revolutionizing patient engagement with an AI-powered omnichannel approach
- 12:00 Noon - 12:30 PM
- Presented by: Salesforce
- Lunch
- 12:30 - 1:30 PM
- Pharmatizing AI: Accelerating the Content Lifecycle for Better Patient Outcomes
- 1:30 - 2:00 PM
- Presented by: EVERSANA
- Transforming patient journey management with AI
- 2:00 - 2:30 PM
- Presented by: Eli Lilly
- Coffee
- 2:30 - 3:00 PM
- From Static Plans to to Personalized Interactions - Real-Time Insights to Transform Customer Engagement
- 3:00 - 3:30 PM
- Presented by: Johnson & Johnson
- Insight-driven sales excellence: Optimizing sales productivity with the sales concierge
Breakout track for Builders: 11:30 AM - 3:30 PM
-
Track 5: Technical Building
- Building Agentic Frameworks for Life Sciences: Intelligent Systems to Power Innovation
- 11:30 AM - 12:30 PM
- Presented by AWS
- 11:30 AM - 12:30 PM
- Lunch
- 12:30 - 1:30 PM
- AWS Generative AI stack for Life Sciences: How to use Bedrock, Q and the Nova models for Industry Use Cases
- 1:30 PM - 2:30 PM
- Presented by AWS
- 1:30 PM - 2:30 PM
- Coffee
- 2:30 - 3:00 PM
- 2:30 - 3:00 PM
- Data and AI platform for Life Sciences: Key Considerations for Amazon SageMaker Unified Studio and HyperPod
- 3:00 - 3:30 PM
- Presented by AWS
- Building Agentic Frameworks for Life Sciences: Intelligent Systems to Power Innovation
Life Sciences Breakthrough Awards Celebration and Closing address: 3:30 - 4:15 PM ET
Evening Reception: 4:15 - 6:30 PM
Networking Reception & Next-Gen Tech Expo
Connect with fellow industry leaders from across the life sciences industry during our networking reception. Interact with business and product leaders from across AWS, explore new technology demos by AWS and our sponsoring partners, and catch the latest offerings showcasing the art-of-the-possible.
New this year: Discover cutting-edge innovators at the TechBio Showcase Lounge and AI Startup Pavilion, where emerging startups and AI-driven breakthroughs in life sciences take center stage.
