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AWS Life Sciences Symposium 2026

Accelerating life sciences transformation with agentic AI. The event is at capacity and is no longer accepting registrations.

Location

Javits Center, 429 11th Ave, New York, NY 10001

Date

Tuesday, April 14, 2026

Agentic AI is here—are you ready?

Join us at AWS Life Sciences Symposium 2026, the industry’s premier technology event, to explore what’s next for AI-driven discovery, development, and patient impact. Through visionary keynotes, curated breakouts, and hands-on demos, discover how AWS and our partners are transforming life sciences innovation with agentic AI, machine learning, and cloud-scale data.

Keynote speakers

Diogo Rau

Missing alt text value Executive Vice President, Chief Information and Digital Officer, Eli Lilly & Company

Eden Wells

Missing alt text value Chief Insights and Decision Science Officer, Novartis

Aviv Regev (Virtual Pre-recorded Video)

Missing alt text value Head, Executive Vice President, Genentech Research and Early Development

Siddhartha Mukherjee

Missing alt text value Co-founder and CEO, Manas AI

Dan Sheeran

Missing alt text value VP and GM, Healthcare & Life Sciences, AWS

Yashodhara Dash

Missing alt text value VP, Strategy & Growth, Memorial Sloan Kettering Cancer Center

Agenda

  • Registration and check-in: 8:00 - 9:00 AM ET
  • Plenary keynote: 9:00 - 10:45 AM ET
  • Coffee & networking: 10:45 - 11:15 AM ET
  • Breakout tracks: 11:15 AM - 3:00 PM ET
  • Lunch: 1:00 - 2:00 PM ET
  • Coffee & networking: 3:00 - 3:30 PM
  • Closing address: 3:30 - 4:00 PM ET
  • Evening reception: 4:00 - 6:00 PM ET
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Explore the curated event tracks

Discover how AWS drives innovation across the value chain, brought to life by real customer stories.

  • Track 1: Research and Drug Discovery
    Powering AI-first discovery—from AI-ready data foundations to autonomous research agents accelerating target identification and molecule design, to making AI accessible to all scientists.
  • Track 2: Clinical Trials 
    Reimagining clinical trials end to end with AI—from accelerated protocol design, informed trial execution, and streamlined regulatory submissions—with proven impact.
  • Track 3: Commercial & Medical Affairs
    Activating AI across commercialization—unlocking market intelligence, modernizing sales and medical engagement, and personalizing patient experiences.

  • Track 4: Medtech and Medical Devices
    Building and deploying AI across the value chain, and unlocking innovations like AI-assisted surgery, remote patient monitoring and intelligent care delivery.

  • Track 5: Tech Building
    Hands-on builder workshops around AI-ready data to agentic applications that turn AI strategy into production reality.
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Detailed track-wise agenda

    Opening & Vision Setting 

    • 11:15 AM - 11:25 AM ET 
    • Presented by: AWS 
    • Lee Tessler, Principal Technology Strategist, Worldwide Life Sciences, AWS  

    Closing the Loop: AI-assisted Antibody Design and Experimental Validation 

    • 11:25 AM - 12:05 PM ET 
    • Presented by: Boltz, Twist Biosciences, John Hopkins University, and AWS 
    • Gabriele Corso, Co-founder and CEO, Boltz 
    • Colby Souders, Chief Scientific Officer, Twist Biopharma Solutions 
    • Michael Chungyoun, Chemical Engineering PhD candidate
    • Jeffrey Gray Lab, Johns Hopkins University 
    • Jiwon Kim, Product Lead - AWS AI Life Sciences, AWS  

    Compressing Discovery Cycles — Building a Centralized DBTL Approach on AWS 

    • 12:05 PM - 12:35 PM ET 
    • Presented by: Sanofi and AWS 
    • Pradeep Bandaru, Head of platforms and AI workflows
    • Sanofi Sabyasachi Dasgupta, Head of R&D Data Products, Sanofi
    • Lee Tessler, Principal Technology Strategist, Worldwide Life Sciences, AWS  

    Beyond Research Agents: Accelerating Scientific Workflows with Agentic AI 

    • 12:35 PM - 1:05 PM ET 
    • Presented by: Roche and AWS 
    • Arick Huensche, Global head of Gen AI platforms, Roche 
    • Brian Loyal, Principal AI/ML Solutions Architect, Amazon Web Services  

    Lunch - 1:05 PM - 2:00 PM ET 

    Scaling AI Science Factory on AWS and NVIDIA 

    • 2:00 PM - 2:20 PM ET 
    • Presented by: Lila Sciences  
    • Sponsored by NVIDIA 
    • Bob Gantzer, VP of Next Generation Platform, Lila Sciences   

    Advancing AI Models for Biology: Data-driven Model Training 

    • 2:20 PM - 3:00 PM ET 
    • Presented by: Noetik, Apheris, BMS, and AWS
    • Ron Alfa, CEO and Co-Founder, Noetik
    • Robin Roehm, CEO & Co-Founder, Apheris 
    • Payal Sheth, Senior Vice President, Therapeutic Discovery Sciences, Bristol Myers Squibb 
    • Hasan Poonawala, Senior AI/ML Solutions Architect for Healthcare and Life Sciences, AWS  

    Opening and vision setting

    • 11:15 AM - 11:20 AM ET
    • Presented by: AWS
    • Deepak Nair, Director, Life Sciences & MedTech, AWS

    AI-powered study design and trial planning

    • 11:20 AM - 11:50 AM ET
    • Presented by: Novartis
    • Dana Iommazzo, Global Head, Clinical Operations Program Management, Novartis

    AI-enabled site selection

    • 11:50 AM - 12:20 PM ET
    • Presented by: BCG and Merck
    • Nigel Markey, Managing Director and Partner, BCG
    • Nikhil Kavimandan, Executive Director, Enterprise Strategy, Merck
    • Gopi Gopinath, AVP, Technology Partnership, R&D IT, Merck
    • Jess Striker, Sr. Director, Global Trial Optimization, Merck

    Unlocking Real-world Data and Evidence for Faster, Data-driven Clinical Trial Insight 

    • 12:20 PM – 1:00 PM ET 
    • Presented by: AWS, Novo Nordisk, and Labcorp 
    • Praveen Haridas, World Wide Lead - HCLS Real World Data & Solutions, Healthcare & Life Sciences, AWS 
    • Abhilasha Ramasamy, AVP and head, Clinical Data Science and Evidence, Novo Nordisk 
    • Bola Oyegunwa, EVP, Chief Information and Technology Officer, Labcorp 

    Lunch - 1:00 PM - 2:00 PM ET

    Lilly's clinical trial supply chain control tower

    • 2:00 PM - 2:30 PM ET
    • Presented by: Eli Lilly
    • Jill Riley, VP Clinical Supply Planning and Delivery, Eli Lilly and Company
    • Mohit Gupta, Senior Director, Clinical Supply Planning and Delivery, Tech, Eli Lilly and Company

    Clinical trial data integration: From execution to enterprise intelligence

    • 2:30 PM - 3:00 PM ET
    • Presented by: Bayer and AWS
    • Daniel Gusenleitner, VP of RnD Technology, Bayer 
    • Sarper Gurel, Principal Solutions Architect, AWS 

    Opening and vision setting

    • 11:15 AM - 11:25 AM ET
    • Presented by: AWS
    • Boris Bodgan, Director, AWS

    Reinventing martech and content with AI

    • 11:25 AM - 11:50 AM ET
    • Presented by: Merck
    • Vijay Parmeshwaran, Associate Vice President (AVP), Data Strategy, Products & Innovation, Merck

    The AI-augmented sales rep – redefining salesforce excellence with AI

    • 11:50 AM - 12:15 PM ET
    • Presented by: AstraZeneca
    • Ravi Gopalakrishnan, VP, Data Science & AI, Advanced Analytics, AstraZeneca

    Beyond patient support: Transforming end-to-end patient experiences with AI

    • 12:15 - 1:00 PM ET
    • Presented by: Amazon Pharmacy, Eli Lilly, and AWS
    • Tanvi Patel, VP and GM, Amazon Pharmacy
    • Rachel Silvestrini, VP Business Insights and Analytics, Eli Lilly and Company
    • Steven J RommeneyGlobal VP, Engineering, Capabilities, and Platforms, Eli Lilly and Company
    • Dennis Lauth, WW Head, Life Sciences Commercial Strategy & Solutions, Amazon Web Services

    Lunch - 1:00 - 2:00 PM ET

    Managing gross-to-net and 340B: Reducing leakage and protecting margins

    • 2:00 - 2:30 PM ET
    • Presented by: PwC and BMS
    • Kingston Smith, Principal, PwC
    • Sean Crawford, Executive Director, Analytical AI, Bristol Myers Squibb
    • Kenny Cole, Director, 340B Strategy, Bristol Myers Squibb

    Semantic data layer: Pharma's AI imperative

    • 2:30 - 3:00 PM ET
    • Fireside chat with: ZS and Johnson and Johnson
    • Ankit Jain, Managing Partner (Principal), ZS
    • Dharmesh Thakkar, Head of Technology & Product Group Leader - Commercial Operations, Data, Analytics & AI, Johnson and Johnson

    Opening and vision setting

    • 11:30 AM - 12:00 PM ET
    • Presented by: AWS
    • Rowland Illing, Chief Global Medical Officer, AWS

    Multimodal AI ecosystem on AWS: Reducing surgical variabilities and improving patient outcomes

    • 12:00 PM - 12:30 PM ET
    • Presented by: Johnson and Johnson MedTech
    • Daniel Carchedi, Global Head of Partnerships & Alliances, Polyphonic, Johnson and Johnson MedTech
    • Alexandre Hennen, Global Head of Design, Polyphonic, Johnson and Johnson MedTech

    Therapies to Insights: Medtronic’s Digital Transformation Towards Insight Driven Care

    • 12:30 PM - 1:00 PM ET
    • Presented by: Medtronic
    • Rashmi Kumar, CIO, Medtronic
    • Karl Anderson, Sr. Director - Product Innovation, Medtronic

    Lunch - 1:00 - 2:00 PM ET

    DocSpera: From Devices to Patient Impact 

    • 2:00 PM - 2:15 PM ET
    • Panel with: Presented by: DocSpera
    • Samuel Ethiopia, Co-Founder and CEO, DocSpera

    Transforming Healthcare Operations with Robotics and AI 

    • 2:15 PM - 2:30 PM ET
    • Presented by: Diligent Robotics
    • Andrea Thomaz, Co-Founder and CEO, Diligent Robotics

    Panel: Views from the Top - Unlocking Innovation with an Enterprise Data Strategy and AI 

    • 2:30 PM - 3:00 PM ET 
    • Panel with: Thermo Fisher, Philips, and Cytiva 
    • Rowland Illing, Chief Global Medical Officer, AWS 
    • Sean Baumann, VP, Digital and AI, Life Sciences, Diagnostics, and Applied Sector, Thermo Fisher Scientific 
    • Chris Batten, VP, Digital, Data & AI, Cytiva Wilson To, VP, Head of Strategy, Philips 

    Democratizing access to developer resources at scale

    • 11:15 AM - 11:30 AM ET
    • Presented by: AWS
    • Eric Brooks, Principal Solution Architect, AWS

    Building an agentic AI-ready data foundation at enterprise scale

    • 11:30 AM - 11:45 AM ET
    • Presented by: AWS
    • Navneet Srivastava, Leader, Analytics Data and AI, Amazon Web Services

    Roche: Building an Enterprise Semantic Data Layer 

    • 11:45 - 12:00 PM ET
    • Presented by: Roche
    • Frank Rydbirk, Domain Lead Data Integration and Insights, Roche
    • Paulina Święcicka, Global Data and Analytics Leader, Roche

    Hands-on workshop: Building a comprehensive AI-ready data foundation using sample datasets

    • 12:00 - 1:00 PM ET
    • Please bring your laptops to participate

    Lunch - 1:00 - 2:00 PM ET

    Best practices for multi-agent workflows for Life Sciences

    • 2:00 - 2:15 PM ET
    • Presented by: AWS
    • Brian Loyal, Principal AI/ML Solutions Architect, AWS

    Hands-on workshop: Building multi-agent systems with Amazon Bedrock AgentCore and the Strands Agents SDK

    • 2:15 - 3:15 PM ET
    • Please bring your laptops to participate

Why Attend

The AWS Life Sciences Symposium is a full-day, in-person conference designed for industry leaders and builders who want to take control of their AI destiny. The agenda features high-impact sessions led by innovators across the industry, sharing real-world experiences on how AI, data, and cloud technologies are transforming life sciences today—along with practical lessons learned. As the largest technology gathering in the industry, the symposium brings together the industry ecosystem - big pharma, med tech innovators, startups, and partners - under one roof to connect, exchange ideas, and explore what’s actually working. Beyond the stage, the Innovation Hub showcases “art of the possible” demonstrations from AWS and AWS partners, bringing emerging technologies and advanced data capabilities to life through possible demos.

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Hear from industry leaders, including:

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Join the year’s most impactful gathering for life sciences innovation

Domain tracks for business leaders:

  • Join domain-focused tracks with peer executives and AI innovators as speakers
  • Preview AWS solutions and exclusive partner offerings to accelerate time-to-value
  • Experience art-of-the-possible demos of agentic AI tackling key business challenges
  • Network with peers, AWS experts, and life sciences visionaries

Technical deep-dive for builders:

  • Attend hands-on workshops on foundation models, autonomous labs, and real-world data
  • Join deep dives with AWS experts on AWS architecture, agentic frameworks, and model orchestration
  • Get foundational guidance that goes beyond standard documentation
  • Network with AWS leaders, cloud builders, and global peers  

Breakout speakers

Rowland Illing

Missing alt text value Chief Global Medical Officer, AWS

Kenny Cole

Missing alt text value Director, 340B Strategy, Bristol Myers Squibb

Sean Crawford

Missing alt text value Sean Crawford, Executive Director, Analytical AI, Bristol Myers Squibb

Ravi Gopalakrishnan

Missing alt text value VP, Data Science & AI , Advanced Analytics, AstraZeneca

Payal Sheth

Missing alt text value Senior Vice President, Therapeutic Discovery Sciences, Bristol Myers Squibb

Rachel Silvestrini

Missing alt text value VP Business Insights and Analytics, Eli Lilly and Company

Steven J Rommeney

Missing alt text value Global VP, Engineering, Capabilities, and Platforms, Eli Lilly and Company

Jill Riley

Missing alt text value VP Clinical Supply Planning and Delivery, Eli Lilly and Company

Rashmi Kumar

Missing alt text value CIO, Medtronic

Tanvi Patel

Missing alt text value VP and GM, Amazon Pharmacy

Sean Baumann

Missing alt text value VP, Digital and AI, Life Sciences, Diagnostics, and Applied Sector, Thermo Fisher Scientific

Bola Oyegunwa

Missing alt text value EVP, Chief Information and Technology Officer, Labcorp

Ron Alfa

Missing alt text value Co-founder and CEO, Noetik

Gabriele Corso

Missing alt text value Co-founder and CEO, Boltz

Robin Roehm

Missing alt text value CEO & Co-Founder, Apheris

Colby Souders

Missing alt text value Chief Scientific Officer, Twist Biopharma Solutions

Bob Gantzer

Missing alt text value VP of Next Generation Platform, Lila Sciences

Nikhil Kavimandan

Missing alt text value Executive Director, Enterprise Strategy, Merck

Gopi Gopinath

Missing alt text value AVP, Technology Partnership, R&D IT

Vijay Parmeshwaran

Missing alt text value Associate Vice President (AVP), Data Strategy, Products & Innovation, Merck

Abhilasha Ramasamy

Missing alt text value AVP and head, Clinical Data Science and Evidence, Novo Nordisk

Sabyasachi Dasgupta

Missing alt text value Head of R&D Data Products, Sanofi

Arick Huensche

Missing alt text value Global head of gen AI platforms, Roche

Karl Anderson

Missing alt text value Sr Director - Product Innovation, Medtronic

Mohit Gupta

Missing alt text value Senior Director, Clinical Supply Planning and Delivery, Tech, Eli Lilly and Company

Dana Iommazzo

Missing alt text value Global Head, Clinical Operations Program Management, Novartis

Paulina Święcicka

Missing alt text value Global Data and Analytics Leader, Roche

Frank Rydbirk

Missing alt text value Domain Lead Data Integration and Insights, Roche

Dharmesh Thakkar

Missing alt text value Head of Technology & Product Group Leader - Commercial Operations, Data, Analytics & AI, Johnson and Johnson

Daniel Carchedi

Missing alt text value Global Head of Partnerships & Alliances, Polyphonic, Johnson and Johnson MedTech

Alexandre Hennen

Missing alt text value Global Head of Design, Polyphonic, Johnson and Johnson MedTech

Nigel Markey

Missing alt text value Managing Director & Partner, BCG

Ankit Jain

Missing alt text value Managing Partner (Principal), ZS

Kingston Smith

Missing alt text value Leader, Analytics Data and AI, PwC

Michael Chungyoun

Missing alt text value Chemical Engineering PhD candidate, Jeffrey Gray Lab, Johns Hopkins University

Navneet Strivastava

Missing alt text value Leader, Analytics Data and AI, Amazon Web Services

Boris Bodgan

Missing alt text value Director, AWS

Deepak Nair

Missing alt text value Director, Life Sciences & MedTech, AWS

Lee Tessler

Missing alt text value Principal Technology Strategist, Worldwide Life Sciences, AWS

Dennis Lauth

Missing alt text value WW Head, Life Sciences Commercial Strategy & Solutions, Amazon Web Services

Pradeep Bandaru

Missing alt text value Head of platforms and AI workflows, Sanofi

Chris Batten

Missing alt text value VP, Digital, Data & AI, Cytiva

Brian Loyal

Missing alt text value Principal AI/ML Solutions Architect, Amazon Web Services

Praveen Haridas

Missing alt text value World Wide Lead - HCLS Real World Data & Solutions, Healthcare & Life Sciences, AWS

Sarper Gurel

Missing alt text value Principal Solutions Architect - Amazon Web Services (AWS)

Jiwon Kim

Missing alt text value Product Lead - AWS AI Life Sciences, AWS

Hasan Poonawala

Missing alt text value Senior AI/ML Solutions Architect for Healthcare and Life Sciences, AWS

Samuel Ethiopia

Missing alt text value Co-Founder and CEO, DocSpera

Jess Striker

Missing alt text value Sr. Director, Global Trial Optimization, Merck

Dan Gusenleitner

Missing alt text value VP R&D Technology, Bayer

Eric Brooks

Missing alt text value Principal Solution Architect, AWS

Wilson To

Missing alt text value VP, Head of Strategy, Philips

Andrea Thomaz

Missing alt text value Co-Founder and CEO, Diligent Robotics

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 in pharmaceuticals, biotechnology, and medical device companies
  • Technology leaders working to establish robust cloud foundations and build AI-applications that enable business transformation
  • Engineers, architects, and data scientists seeking hands-on learning from AWS experts to master building on AWS with proven frameworks, methodologies, and architectural designs

Don’t miss the year’s most impactful gathering for life sciences innovation.

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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.

Attendee, CIO, Top 10 Pharma

It’s not often I go to an event where every talk is relevant and interesting. Thank you for including me.

Attendee, Founder, Techbio Startup

The event was a right mix of knowledge sharing and networking.

Attendee, AI Engineer, Pharma Organization

Everything you need to know about Gen AI and ML all in one day

Attendee, SVP or Research, Big Pharma

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.

Attendee, Head of Data and Analytics, Mid-sized Pharma

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.

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Thank you to our event sponsors

Gold Sponsors

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Silver Sponsors

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PwC

PwC is a team of industry specialists committed to helping your organization deliver positive outcomes for patients and investors. We can help you reinvent your business model by reshaping portfolios, innovating the patient experience, digitizing the value chain, resetting the cost base and transacting to transform.

 

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