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• Angi Kujak, Head of OSAP Legal Practice, Broad Institute of MIT and Harvard
• Harry Harden – Partner (London) & Senior VP US Liaison Office, Kilburn & Strode
• Daniel Rudoy – Shareholder, Wolf Greenfield

Moderator: Jocelyn Ram – IP Counsel, Broad Institute of MIT and Harvard

• Karen Sinclair – Director of Intellectual Property, Office of Technology Development, Harvard University
• Randi Isaacs – Patent Counsel, Emory University 
• Peter Saradjian – Senior Technology Licensing Associate & Patent Attorney, Beth Israel Deaconess Medical Center 

As AI-enabled biotech inventions become more prevalent, we need new, creative strategies to effectively protect, manage, and license these innovations to maximize impact on patients’ lives. We will provide an overview of the myriad of issues facing in-house counsel today and advice for staying ahead of the curve.

Moderator: Jamie Atkins – Partner, Kilburn & Strode

• Katie Tallman – Senior Technical Specialist, Patent Agent, Fig. 1 
• Daniel Rudoy – Shareholder, Electrical & Computer Technologies, Wolf Greenfield 
• Melissa Hunter-Ensor – Shareholder, Co-Chair Global Patents and Innovation Strategies Group, Greenberg Traurig 
• Benni Pfundner – European and UK Patent Attorney, Kilburn & Strode

Delve into exactly what can be protected in the AI/ML space with respect to biotech inventions. How much support is required in the US and abroad? What is your filing/prosecution strategy? Get insightful tips for proactive intellectual property strategies for improved success.

• Angi Kujak – Senior Director, Head of OSAP Legal Practice, Broad Institute of MIT and Harvard
• Lukasz Kowalik – Director, Business Development & Licensing, Broad Institute of MIT and Harvard

Explore the complex interplay between publishing AI/ML research, meeting model-sharing obligations, and preserving intellectual property rights in academic settings. Learn to navigate the tensions between open science mandates from journals and funders while maintaining institutional and commercial interests. Examine how training data choices fundamentally shape both model distribution strategies and future commercialization pathways.

Moderator: Jess Ergmann - Associate Director, OSAP Legal, Broad Institute of MIT and Harvard

• Moran Cabili – Associate Director of Business Development, Office of Technology Development, Harvard University
• Ed Russavage – Shareholder, Electrical & Computer Technologies, Wolf Greenfield
• Juliana Leung – Senior Director, Business Development & Licensing, Broad Institute of MIT and Harvard

Learn how to structure AI/ML licensing deals to ensure maximum value capture, starting with a clear definition of the licensable assets—from data to models. We will provide essential guidance on the economic frameworks and both the required and desirable contractual terms that govern the successful commercialization of these cutting-edge technologies.

• James Collins – Termeer Professor of Medical Engineering & Science and Professor of Biological Engineering at MIT, Institute Member, Broad Institute of MIT and Harvard Institute of MIT and Harvard
• Ben Deverman – Senior Director, Vector Engineering Research, Broad Institute of MIT and Harvard
• Victoria Popic – Director, Computational Research and Development, Broad Institute of MIT and Harvard

Hear directly from scientists about their unique inventions and how they are bridging the gap between biotech and the AI/ML space. From data visualization software, to machine learning for drug discovery, to computational genomic sequencing, we have it all!