Dr. James Zou

Assistant Professor

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Biography

James Zou is an Associate Professor in the Department of Biomedical Data Science at Stanford University, with a courtesy appointment in the Department of Computer Science and Electrical Engineering. His research focuses on enhancing the reliability and human compatibility of artificial intelligence (AI), particularly its applications in human disease and health. He received his Ph.D. from Harvard in 2014 and has been affiliated with prestigious institutions such as Microsoft Research as a Gates Scholar at Cambridge and a Simons Fellow at U.C. Berkeley. Zou joined Stanford in 2016 and is currently a Chan-Zuckerberg Investigator, actively involved in the Stanford AI Lab. His research is supported by various prestigious awards, including the Chan-Zuckerberg Biohub Investigator Award, Sloan Fellowship, and the NSF CAREER Award. His work aims to develop technologies that make machine learning accountable and beneficial for the healthcare sector, motivating transformative applications in biotechnology and health.

Research Interests

Courses

BMDS 273 CS 273B GENE 236 BMDS 271 CS 277 RAD 271 CS 499 CS 499P BMDS 295 CS 390A CS 390B CS 390C BMDS 299 BIOE 391 CS 399 CS 399P SYMSYS 196 CS 199 CS 199P BMDS 370 CS 390D CME 391 CS 191 CS 195 CS 191W BIODS 271 RAD 271 BIODS 201 BIOMEDIN 201 BIODS 290 BIODS 237 BIODS 260B STATS 260B

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.