Speaker Profile
Biography
Dr. Musso has a background in molecular genetics (PhD), and did post-doctoral work at Harvard Medical School and Brigham and Women's Hospital on computational and developmental biology. He spent time at a start-up working on real-time machine learning, before joining with others to start BioSymetrics with the aim of tackling the specific challenges of working with biomedical data. He was named one of the top 100 leaders in AI and drug discovery, has authored over 30 peer reviewed publications on AIML and biology.
Talk
Closing the loop: Coupling AI with In vivo validation
AI models are accelerating target and compound discovery, but translation remains a bottleneck. We present a closed-loop platform integrating predictive AI with high-throughput in vivo validation using disease models relevant to neurological disease. Case studies demonstrate how this approach improves hit prioritization, enhances biological relevance, and increases success rates in drug development.
Session Abstract – PMWC 2026 Silicon Valley
Track Chairs:
Gad Getz, Broad Institute & Alex Morgan, Khosla Ventures
PMWC Award Ceremony
• Greg Brockman, President & Co-Founder, OpenAI
• Steve Wozniak, Co-Founder, Apple
Fireside Chat
• Vinod Khosla, Khosla Ventures
• Greg Brockman, President & Co-Founder, OpenAI
Target Discovery: Beyond Genomics – Revealing Hidden Layers of Biology with AI
• Keynote: Stephen Quake, CZ Biohub
• Chair: Cindy Lawley, Olink
• Aritro Nath, City of Hope
• Massa Shoura, Phinomics
• Omar Serang, DNAnexus
Foundation Models for Human Biology: Accelerating Immunotherapy Discovery Through Multimodal AI
• Ron Alfa, Noetik
Systems Integration for Drug Discovery and AI
• Hugo Lam, Genentech
Interpretable AI Models for Multi-Modal Biomarker Discovery in Drug Development
• Vitalay Fomin, Numenos
Closing the Loop: Coupling AI with In Vivo Validation
• Gabriel Musso, biosymetrics
Interpretable AI for Biomarker Discovery: Accelerating Drug Development
• Chair: Rajat Roy, PATHOMIQ INC
• Shivanni Kummar, MD, OHSU
Can AI Really Create the Next Blockbuster Drug? Closing the Loop from 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
Enabling Targeted Precision Drug & Gene Delivery with Predictive AI
• Andre Watson, Ligandal
Is AI the New Drug?
• Chair: Alex Morgan, Khosla Ventures
• Michael J. Kahana, Nia Therapeutics




