Speaker Profile
MA, Chief Business Officer, GeneDx
Biography
Lisa Gurry is the Chief Business Officer at Gene Dx, where she is leading the company through its next phase of growthadvancing data and information services across biopharma, health systems, and other partnersto accelerate the future of precision medicine. In this role, Lisa drives Gene Dxs strategic business operations, partnerships, and data strategy, unlocking the full potential of Gene Dx Infinity, the largest rare disease dataset. She also oversees marketing and communications. With deep expertise at the intersection of healthcare, technology, and data, Lisa has a proven track record of turning bold ideas into scaled businesses. She co-founded Truveta, serving as Chief Growth Officer, Chief Marketing Officer, and Chief Operating Officer. Earlier in her career, Lisa spent more than 20 years at Microsoft.
Talk
Unlocking Biopharma Solutions with AI-Powered Genomic Data
Powered by AI and millions of genomes linked to deep longitudinal phenotypic data, GeneDx delivers unparalleled rare-disease intelligence. This session will share how GeneDx partners with biopharma to turn genomic data into actionable solutionsaccelerating discovery and clinical trials, and advancing the next era of precision medicine.
Session Abstract – PMWC 2026 Silicon Valley
Track Chair:
Alex Morgan, Khosla Ventures and Gad Getz, Broad Institute
PMWC Award Ceremony
• Steve Wozniak, Apple
• Greg Brockman, OpenAI
Fireside Chat
• Vinod Khosla, Khosla Ventures
• Greg Brockman, OpenAI
Target Discovery: Beyond Genomics – Revealing Hidden Layers of Biology with AI
• Chair: Cindy Lawley, Olink
• Aritro Nath, City of Hope
• John Quackenbush, Harvard
• Massa Shoura, Phinomics
• Omar Serang, DNAnexus
Foundation Models of Human Cancer Biology to Predict Clinical Outcomes
• Ron Alfa, Noetik
Mechanistic Modeling of the Human Immune System: A Data-Integrated Approach to Target and Biomarker Discovery
• Liat Dassa, CytoReason
Biological Foundation Models: Harmonizing Data to Accelerate Drug Discovery
• Vitalay Fomin, Numenos
From Prediction to Translation: AI and In Vivo Validation to Improve Drug Development Success
• Gabriel Musso, BioSymetrics
Interpretable AI for Biomarker Discovery: Accelerating Drug Development and Advancing Precision Medicine
• Chair: Shivanni Kummar, PATHOMIQ
• Dale Muzzey, Myriad Genetics
• Sanoj Punnen, University of Miami
• Mark Burkard, UI
Can AI Really Create the Next Blockbuster Drug? Closing the Loop from Drug Discovery to Development
• Chair: Amar Das, Guardant Health
• Ari Caroline, Weave Bio
• Dina Katabi, Emerald/MIT
• Andrei Georgescu, Vivodyne
• James Zou, Stanford
Gemini Digital Twins Accelerate Precision Medicine
• Collin Hill, Aitia
Scaling Rare Disease Discovery with AI: From Genomic Data to Therapeutic Insights
• Lisa Gurry, GeneDx
Limited Sample Models for Faster Lead Discovery, High Accuracy, and Regulatory Grade AI
• Lalin Theverapperuma, Expert Intelligence
Enabling Targeted Precision Drug & Gene Delivery with Predictive AI
• Andre Watson, Ligandal
Is AI the New Drug or the New Therapeutic Modality
• Chair: Alex Morgan, Khosla Ventures
• Michael J. Kahana, Nia Therapeutics
• Marc Tessier-Lavigne, Xaira
