Data Privacy for Health Summit - Boston, USA 2026

Welcome Coffee

Ease in, reconnect, and set the tone for the day.

Introduction

A short welcome to open the day and frame the conversations ahead.
MDT

Duo Keynote - US Privacy Landscape for Clinical Research & Commercial Biotech

Navigating the fragmented US privacy framework across clinical research and commercial biotech activities. From state-level laws to contractual obligations, this session explores how organizations manage data across research, development, and commercialization phases.
Heather, Mike D.

Fireside Chat - Consumer Health Data Laws: Enforcement, Litigation & the Post-HIPAA Reality

Decoding regulatory signals and enforcement priorities in the post-HIPAA era, from evolving cybersecurity requirements to stricter compliance expectations, and where Life Sciences companies are most exposed across studies, partnerships, and data use.
Trisha, Caitlin

Break

Pause, recharge, and continue the conversation informally.

Keynote - AI Governance: Setting the Rules before using the Tools

Governance cannot be an afterthought once the tools are already live. This keynote looks at how to define roles, guardrails, and accountability upfront, so AI adoption moves fast without outpacing oversight.
ShanShan

Duo Keynote - Real Data vs. Synthetic Data: A Transatlantic Divide

Contrasting US and EU approaches to data access, data brokers, and privacy-enhancing technologies, and what it means for global health innovation.
Jordan, Nick

Duo Keynote - The Augmented DPO: Where AI Stops, Human Judgment Begins

AI is turning the DPO into a more strategic player. As tools automate routine tasks, the role shifts toward decision-making, oversight, and accountability. This session explores where automation delivers real value, and where human judgment remains irreplaceable.
Xavier, Hubert

Lunch

Time to refuel and connect.

Workshop & Open Discussion on AI Governance & Privacy: Where Do We Draw the Line?

An interactive working session to compare practices and challenge assumptions: where does responsible AI use end, and where does unacceptable risk begin? Bring your questions, your edge cases, and your disagreements.
Anastassia, ShanShan, Jordan, Nick

Panel Discussion - Cross-Border Data Transfers & Geopolitical Privacy Dynamics

Navigating international data flows in global trials, licensing, and research collaborations, amid growing geopolitical and regulatory tensions.
Ed, Paula, Dondi, Shoshanna

Break

Pause, recharge, and continue the conversation informally.

Panel Discussion - From Compliance to Trust: Privacy as a Competitive Advantage

How leading organizations are turning privacy into a business enabler, building trust with partners, regulators, and patients in a competitive market.
Kaouthar, Daphna, Ryan, Kimberlee, Jessica

Panel Discussion - AI in Healthcare: From Innovation to Liability

From training data to regulatory scrutiny, exploring how AI is transforming Life Sciences, and where responsibility lies when things go wrong.
Nechama, Aaron, Michael T., Eden

Interactive Closing Session & Open Discussion

Key takeaways, shared challenges, and what’s next for data-driven innovation in Life Sciences.
MDT

Networking Afterparty

Because the best conversations happen here.