Speaker Profile
Ph.D., Distinguished Engineer, Genentech
Biography
Hugo Lam, Ph.D., is a Distinguished Engineer and Uber Tech Lead at Genentech, where he guides strategy in advanced data engineering and AI to accelerate scientific innovation. His work focuses on building scalable, FAIR-compliant data ecosystems that are AI-ready and empower cross-functional collaboration, accelerating discovery and enterprise decision-making.Before returning to Genentech, Dr. Lam founded and led HypaHub, directing bioinformatics and software engineering programs that advanced AI- and data-driven diagnostics and therapeutics. The company gained recognition from angels, venture capital, and Y Combinator.Earlier in his career, Dr. Lam led bioinformatics efforts at Roche, shaping data-science strategy and driving informatics research that contributed to next-generation healthcare product development, including work published in Nature Communications. His experience also spans 23andMe, Personalis, and Bina Technologies (acquired by Roche), giving him broad expertise across genomics, computational biology, and large-scale data systems.
Talk
Systems Integration for Drug Discovery and AI
This talk highlights how a unified, AI-ready Data Ecosystem accelerates scientific discovery by integrating data, automation, and adaptive intelligent interfaces. By simplifying access to complex research assets and enabling more dynamic, insight-driven workflows, we empower RD teams to innovate faster and make more informed decisions across the discovery lifecycle.
AI and Data Sciences Showcase:
Genentech
Session Abstract – PMWC 2026 Silicon Valley
The PMWC 2026 AI Company Showcase will provide a 15-30 minute time slot for selected AI companies to present their latest technologies to an audience of leading investors, potential clients, and partners. We will hear from companies building technologies that expedite the pre-clinical and clinical drug discovery and development process, accelerate patient diagnosis and treatment, or develop scalable systems framework to make AI and deep/machine learning a reality.
