Bio
Dr. Jack Ching is a Senior Health Research Scientist (HEOR) at Google Montréal, where he works at the intersection of AI-driven innovations, clinical research, healthcare operations, and policy. He leads strategic initiatives and collaborations across product, engineering, and research teams to integrate generative AI and consumer wearables into the healthcare ecosystem, translating complex technical insights into scalable solutions to improve health outcomes worldwide.
Prior to Google, Dr. Ching led quality-improvement initiatives at Kaiser Permanente, designing population health management and safety-net programs that served millions of patients. His research, which focuses on the economic and clinical evaluation of digital health interventions, has been published in leading journals such as Nature Medicine and the Journal of Medical Internet Research.
Dr. Ching holds a Ph.D. in Health Policy (Decision Science) from Stanford University and a B.S.E. in Operations Research and Financial Engineering from Princeton University.
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2025
2024
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Apr 2026
All of Us Science Day 2026 (Virtual)Digital Health and Wearables Workshop
Feb 2026
ACCESS Forum US 2026 (New Orleans, LA)Successful Use Cases of Generative AI in Market Access
Illuminating the Patient Journey Between Clinical Visits
Sep 2025
BioPort Atlantic 2025 (Halifax, Nova Scotia)Atlantic Voices, Global Impact: How Our Health Ecosystem is Shaping Trustworthy AI in Healthcare.
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Core Domains
Health Innovation: Generative AI (GenAI), agentic search, wearable technology, patient-generated health data (PGHD)
Care Delivery: Population health management, preventive care screening, quality and operations improvement, integrated health systems
Health Policy: Global health, health policy, regulatory strategy.
Methodology & Strategy
Economic Evaluation: Cost-effectiveness analysis, budget impact analysis, and value assessment
Decision Modeling: Health system modeling, policy simulation, and system dynamics
Evidence Generation: Real-world evidence (RWE) studies, systematic reviews, and mixed-methods evaluation
Methods Development: GenAI evaluation and applications for health economics and outcomes research (HEOR)
Technical Stack
Data & Modeling: R, Python, SQL, SAS, TreeAge Pro.
Clinical Systems: Epic EHR