Speaker Profile
0,other, CSO & COO, Clear Labs
Biography
As Chief Scientific Officer for Clear Labs, Dr. Khaksar leads the vision and strategy for talented teams of dedicated scientists who make life healthier through the application of genomics and intelligent analytics. From a leadership perspective, he prioritize team culture and empower my team members to maximize their talents and push the bounds of what's possible. As a scientist and researcher, Dr. Khaksar have deep insights into the world of health, biotechnology, and next generation sequencing, and Ihe continue to contribute to the world of academia as an adjunct faculty member at Rutgers University. Dr. Khaksar like to leave a legacy by raising the quality of life and health of the world's population. Through his work at Clear Labs, they have made a huge impact on food safety. Dr. Khaksar aim to expand that impact by using my skills to improve clinical and pharmaceutical genomics and their effectiveness in public health.
Sequencing Technologies Showcase:
Clear Labs
Clear Labs harnesses the power of next-generation sequencing (NGS) to simplify complex diagnostics for clinical and applied markets. By creating a fully automated platform that brings together DNA sequencing, robotics and cloud-based analytics, Clear Labs democratizes genomics applications to deliver increased clarity.
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
