Dr. Ron Li

Assistant Professor

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Biography

Ron Li is a Clinical Associate Professor in the Department of Medicine at Stanford University School of Medicine, where he also serves as Medical Informatics Director for Stanford Health Care. He provides medical informatics direction for the enterprise digital health portfolio and is involved in expanding digital referral networks and virtual care modalities. With a focus on delivery science, Ron explores the integration of new technological capabilities including digital health and artificial intelligence into healthcare. His work encompasses various domains such as clinical medicine, data science, information technology, and implementation science. As an attending physician, he is dedicated to inpatient medicine and also serves as Associate Program Director for the Stanford Clinical Informatics Fellowship. Aside from his clinical responsibilities, he co-founded the Stanford Emerging Applications Lab (SEAL), advancing innovative digital products for healthcare. Ron has been acknowledged as a recipient of the Stanford Human Centered AI Seed Grant.

Research Interests

Experience

Medical Informatics Director

— Present

Stanford Health Care • Stanford, CA

Provides medical informatics direction for the enterprise digital health portfolio.

Co-founder and Director

— Present

Stanford Emerging Applications Lab (SEAL) • Stanford, CA

Helps clinicians and staff build and prototype ideas for novel digital products.

Awards

#

Stanford Human Centered AI Seed Grant Recipient

Courses

BIOMEDIN 208

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.