Dr. Jonathan Chen

Associate Professor

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Biography

Jonathan H. Chen, MD, PhD leads a research group that empowers individuals by combining human and artificial intelligence approaches to deliver care more effectively. His goal is to discover and distribute latent knowledge embedded within clinical data, which has significant implications in the field of medicine. Dr. Chen co-founded a company translating his Computer Science graduate work into an expert system in organic chemistry, further applying his expertise in drug discovery. With over 100 publications in leading clinical informatics venues, he has received numerous awards from esteemed organizations such as the NIH and the American Medical Informatics Association. His current research focuses on leveraging real-world clinical data, like electronic medical records, through machine learning and data analytics to enhance clinical decision support systems and contribute to a continuously learning health system. Dr. Chen holds an Associate Professor position in Biomedical Informatics Research and is dedicated to addressing the escalating complexities of healthcare through informatics solutions.

Research Interests

Experience

Associate Professor

2015-01-01 — Present

Stanford University • Stanford, CA

Director of Medical Education at the Stanford Center for Biomedical Informatics Research, focusing on the integration of artificial intelligence and clinical practices.

Courses

BMDS 299 BMDS 370 CME 400 BIOMEDIN 304 BIOMEDIN 205

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.