Aïcha Bentaieb
Principal AI Scientist/Group Lead at Genentech
Aïcha Bentaieb is a Principal AI Scientist in the Biology Research | AI Development (BRAID) department at Genentech. Her work is centered on the application of machine learning in biological target discovery. Aïcha currently leads initiatives to develop AI methodologies, focusing particularly on machine learning for analyzing cellular communication and advancing perturbation screens via in vitro models.
Previously, Aïcha held key roles such as Director of Pathology AI at Tempus Labs and Research Scientist at Roche, where she leveraged machine learning for biomarker prediction from multimodal microscopy imaging and genomics data and digital pathology, respectively.
Aïcha earned her PhD in Computer Sciences from Simon Fraser University, specializing in machine learning for cancer diagnosis through histopathology images. Her research interests lie at the intersection of machine learning, computer vision, and molecular biology.
Anitha Kannan
Head of AI, Curai Health
Anitha Kannan is a founding member and the Head of AI at Curai Health, an AI-powered virtual clinic on a mission to improve access to care at scale. In her role, Anitha spearheads the development of machine learning technology designed to reimagine care delivery and enhance patient outcomes. Prior to her work at Curai, Anitha held senior research positions at Facebook AI Research and Microsoft Research. She holds a PhD in machine learning from the University of Toronto and was a Darwin Fellow at the University of Cambridge.
Dr. Wei Li
VP/GM of Artificial Intelligence Software Engineering, Intel
Dr. Wei Li is VP/GM of Artificial Intelligence Software Engineering at Intel, where he leads a world-class team of AI software “magicians” to supercharge machine performance and developer productivity together with AI hardware. Wei started as a computer scientist for supercomputers, where he received his Ph.D. in Computer Science from Cornell University, and was an invited speaker and lecturer at conferences such as Fortune and AI Summits, and universities such as Stanford and Harvard. A champion for open source software ecosystem, particularly in the era of Generative AI, he also serves on the Governing Boards of PyTorch Foundation and Linux Foundation AI & Data.
Scott Penberthy
Director of Applied AI at Google
Scott is the Director of Applied AI at Google. In this role, he leads a team of AI engineers and PhDs who help VIPs reimagine the production of goods and services and how value is exchanged in free markets. His team applies current and upcoming AI technologies to materialize proofs of concept and drive long-term transformations.
Prior to this role, Scott was a Technical Director in the Office of the CTO, a group at Google dedicated to helping customers thrive in the world of cloud computing. Scott kept one foot in the AI labs of Silicon Valley, the other in Wall Street and board rooms. Demand skyrocketed and he was asked to build a team focused on AI.
Scott has a PhD in AI and Computer Science with multiple degrees from MIT and the University of Washington.
Jeffrey M. Venstrom, MD
Chief Medical Officer, GRAIL
Jeffrey M. Venstrom, MD, is a physician-scientist specializing in drug and diagnostic product development, with expertise in oncology, hematology, and immunology. Dr. Venstrom is currently the Chief Medical Officer at GRAIL, where he leads the medical and laboratory teams overseeing the development and clinical implementation of a first-in-class, blood-based multi-cancer early detection test.
Prior to GRAIL, he served in many roles at Roche / Genentech, across early- and late-stage development. As Senior Vice President, Head of Clinical Development and Medical Affairs at Foundation Medicine, he oversaw the development and launch of cancer genomic profiling solutions. Through roles in research, development and medical affairs at Genentech, he established a new Global Hematology Biomarker Franchise, and contributed to numerous drug and companion diagnostic launches.
Dr. Venstrom practiced Medical Oncology and led a medical research laboratory in the Department of Medicine at The University of California, San Francisco, where he was the Krishnamurthi Endowed Chair of Hematologic Malignancies. He completed his oncology clinical and cancer immunology research training at Memorial Sloan-Kettering Cancer Center in New York, his internal medicine training at The Johns Hopkins Hospital, medical and bachelor’s degrees at Vanderbilt University, and additional research training at the National Institutes of Health.