Speaker Profile
Biography
Andy earned his MD from Brown Medical School and completed residency and fellowship training in Anatomic Pathology and Molecular Genetic Pathology from Stanford University. He completed a PhD in Biomedical Informatics from Stanford University, where he developed one of the first machine-learning based systems for cancer pathology. He’s been certified by the American Board of Pathology in Anatomic Pathology and Molecular Genetic Pathology. Prior to co-founding PathAI, he was on the faculty of Harvard Medical School in the Department of Pathology at Beth Israel Deaconess Medical Center. He has published over 110 papers in the fields of cancer biology, cancer pathology, and biomedical informatics.
Session Abstract – PMWC 2027 Silicon Valley
Track Chair:
Okan Ekinci, Roche / Navify
PMWC Award Ceremony
• Fei-Fei Li, Stanford (Pioneer)
• Andrew Ng, Stanford / DeepLearning.AI (Luminary)
• Daphne Koller, insitro (Luminary)
Featured Speakers
• Fei-Fei Li, Stanford
• Andrew Ng, Stanford / DeepLearning.AI
• Daphne Koller, insitro
• Andy Beck, PathAI
• Germán Corredor Prada, Emory / Georgia Tech
• Drew Williamson, Emory
• Marina Sirota, UCSF
• Pranav Rajpurkar, Harvard
• Okan Ekinci, Roche / Navify
• Janusz Dutkowski, Data4Cure
• Alex Moreau, Champions Oncology
• Jadwiga Bienkowska, Pfizer
• Sharat Israni, UCSF
Beyond the Glass Slide
What computational pathology sees that humans cannot.
AI-Enabled Companion Diagnostics
From biomarker discovery to patient selection.
The Precision Oncology Operating System
Wiring multimodal AI into the oncology workflow.
AI and Omics Foundation Models
Modeling translational biology across omics, pathology, and clinical data.
From Pilot to Standard of Care
Scaling AI diagnostics in real clinical practice.
PMWC Hall of Impact
Previous Speakers Include
Nobel laureates, technology founders, regulators, CEOs and scientific pioneers who have taken the PMWC stage.