Speaker Profile
Ph.D., Professor, Harvard
Biography
Pranav Rajpurkar is driven by a fundamental passion for building reliable artificial intelligence (AI) technologies for biomedical decision making. His lab approaches biomedical problems with a computational lens, developing AI algorithms, datasets, and interfaces that cut across computer vision, natural language processing, and structured health data. He has collaborated with clinicians across medical specialties, including radiology, cardiology, and pathology, to make some of the first demonstrations of expert-level deep learning algorithms and their effects on clinician decision making. Previously, Dr. Rajpurkar received his B.S., M.S., and Ph.D. degrees, all in Computer Science from Stanford University.
His lab’s current research directions include algorithm development for limited labeled data settings, high-quality dataset curation at scale, and the design of effective clinician-AI collaboration setups.
Session Abstract – PMWC 2027 Silicon Valley
Track Chair:
Victor Velculescu, Johns Hopkins
PMWC Award Ceremony
• Rebecca Fitzgerald, University of Cambridge (Luminary)
• Mary-Claire King, University of Washington (Pioneer)
• Nickolas Papadopoulos, Johns Hopkins (Pioneer)
Featured Speakers
• Mary-Claire King, University of Washington
• Rebecca Fitzgerald, University of Cambridge
• Nickolas Papadopoulos, Johns Hopkins
• Victor Velculescu, Johns Hopkins
• Phil Castle, NIH
• Elad Ziv, UCSF
• Ash Alizadeh, Stanford
• Hamed Amini, Hepta
• Becky Taub, Madrigal Pharmaceuticals
• Trevor Pugh, University of Toronto
• Doga Gulhan, Harvard
• Pranav Rajpurkar, Harvard
• Chris Douville, Johns Hopkins
• Sylvia Katina Plevritis, UCSF
In Precision Medicine, Almost All Diseases Are Genetically Rare
A genetics-first keynote framing risk, prevention, and actionability.
The Reckoning
What the first wave of early detection got right and wrong.
The End of One Size Fits All
Risk-stratified screening, high-risk populations, and single-cancer tests.
Treating Disease at the Earliest Stage
Where detection and therapeutic interception begin to converge.
Pre-Cancer Detection & the Liver Disease Frontier
cfDNA and clinical action across the liver-disease-to-cancer continuum.
AI Across Multimodal Signals
Fragmentomics, methylation, imaging, pathology, and integration: hype versus real science.
PMWC Hall of Impact
Previous Speakers Include
Nobel laureates, technology founders, regulators, CEOs and scientific pioneers who have taken the PMWC stage.
