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 Speaker Profile

PMWC PIONEER AWARD
Pioneer of personal computing who engineered the foundation for today’s AI revolution.

Co-Founder, Apple

Biography
A Silicon Valley icon, technology entrepreneur, and philanthropist for more than four decades, Steve Wozniak has helped shape the computing industry through his design of Apples first line of productsthe Apple I and IIand his influence on the Macintosh. In 1976, Wozniak and Steve Jobs co-founded Apple Computer Inc. with Wozniaks Apple I, followed by the Apple II, which helped launch the personal computer revolution. He is listed as the sole inventor on four Apple patents. After completing his degree in electrical engineering and computer science at UC Berkeley, Wozniak founded Unuson, producer of the US Festivalsa landmark fusion of technology and music. His achievements have been recognized with the National Medal of Technology from President Ronald Reagan, induction into the National Inventors Hall of Fame, and the Heinz Award for Technology, the Economy and Employment. A committed advocate for education and innovation, Wozniak has championed technology access in schools and supported institutions such as the Electronic Frontier Foundation, the Tech Museum of Innovation, and the Childrens Discovery Museum of San Jose. He is the author of the New York Times best-selling autobiography i Woz and continues to advance technology education as co-founder of Woz U and Efforce, a blockchain-based sustainability platform.


 Session Abstract – PMWC 2026 Silicon Valley

Track 2: AI - March 4 1.30 P.M.-1.45 P.M.,Track 2: AI - March 6 9.00 A.M.-4.15 P.M.


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

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