Speaker Profile
M.D., Investigator, NIH
Biography
Dr. Denny's research interests include use of electronic health records (EHRs) and genomics data from large-scale biobanks such as Vanderbilt's BioVU, eMERGE, the All of Us Research Program, and UK Biobank to better understand disease and drug response. Prior to joining the NIH in 2020, Josh was a Professor of Biomedical Informatics and Medicine, founding Director of the Center for Precision Medicine, and Vice President for Personalized Medicine at Vanderbilt University Medical Center, where he was both a practicing internist and research scientist. Josh's lab and center focused on the secondary use of EHR data for discovery, including the development of phenome‐wide association studies (PheWAS), phenotype risk scores (PheRS), work he is continuing here at NHGRI. He has also led efforts implementing precision medicine to improve patient outcomes by helping launch the prospective PREDICT pharmacogenomics program at Vanderbilt and within the NHGRI IGNITE Network.
Dr. Denny was the recipient of the Homer Warner award from the American Medical Informatics Association (AMIA) in 2008 and 2009 and AMIA New Investigator Award in 2012. He is an elected member of the National Academy of Medicine, the American College of Medical Informatics, and the American Society for Clinical Investigation. He currently serves as the Chief Executive Officer of the National Institutes of Health's All of Us Research Program.
Session Abstract – PMWC 2027 Silicon Valley
Track Chair:
William Oh, Yale
PMWC Award Ceremony
• Nigam Shah, Stanford
• Thomas Fuchs, Lilly
Keynote: Responsible AI in Healthcare: From RWE to Agentic Systems
• Nigam Shah, Stanford
Keynote: Scaling Trusted AI: From Computational Pathology to Next-Gen Medicines
• Thomas Fuchs, Lilly
Real-World Evidence & Clinical AI: Closing the Loop Between Data and Care
• Chair: Roxana Daneshjou, Stanford
• Aashima Gupta, Google
• Brigham Hyde, Atropos Health
• Michael Pfeffer, Stanford
• Thomas Fuchs, Lilly
From Data to Decisions: Building Regulatory-Grade RWE from EHR Systems in Oncology
• Chair: Nadia Poluhina, Mayo Clinic
• Kate Estep, Flatiron Health
• Alyssa Pybus, Moffitt Cancer Center
• Julie Stein Deutsch, Johns Hopkins
• Jeremy Jones, Mayo Clinic
Predicting Outcomes: An AI Model Trained on RWE for Precision Care
• Rich Gliklich, OM1
AI for Clinical Decision Support: From Models to Bedside
• Chair: Amrita Basu, UCSF
• Anurang Revri, Stanford
• Emily Alsentzer, Stanford
• Okan Ekinci, Roche
Keynote: AI for CDS-From Models to Bedside
• Zachary Ziegler, OpenEvidence
Operationalizing AI in Health Systems: Trust, Adoption & Outcomes
• Chair: Danton Samuel Char, Stanford
• Karan Singhal, OpenAI
• Sina Bari, iMerit Technology
• Shashi Shankar, Novellia
• Elena Ikonomovska, diadia Health
• Syed Mohiuddin, Anthropic
Safe, Scalable AI in Clinical Practice: What’s Working and What’s Not
• Chair: Travis Zack, OpenEvidence
• Vincent Liu, Kaiser
• Richard Milani, Sutter Health
Transforming Transplant Care Through AI: From Predictive Insights to Precision Decisions
• Jing Huang, CareDx
AI for Precision Psychiatry: Integrating Multimodal Data Into Clinical Decision Support
• Erwin Estigarribia, HEADLAMP health
Workflow-First Clinical AI: Integration Patterns, Guardrails & Change Management
• Jorge Durand, Klick Health
From Patient-Generated Data to Regulatory-Grade RWE: Design, Bias & Outcome Linkage
• Phil Johnson, Evidation
