Dr. Tina Hernandez Boussard

Professor

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Biography

Tina Hernandez-Boussard is a Professor at Stanford University in the Department of Medicine, specializing in Biomedical Informatics, Biomedical Data Science, Surgery, and Epidemiology and Population Health. As Associate Dean for Research at the Stanford School of Medicine, she focuses on leveraging informatics and population health to drive responsible AI practices in healthcare. Her research centers on the use of multimodal data to develop standards and guidelines for AI in healthcare, aiming to enhance patient outcomes. She possesses extensive expertise in computational biology and health services research, with a key focus on innovative methods to analyze large clinical datasets for hypothesis generation and comparative effectiveness research.

Research Interests

Experience

Professor

2009-01-01 — Present

Stanford University • Stanford, CA

Leading research and teaching in Biomedical Informatics and related fields.

Associate Dean for Research

2022-01-01 — Present

Stanford School of Medicine • Stanford, CA

Overseeing research initiatives and conducting studies in health informatics.

Awards

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Fellow

2020-01-01
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Innovation Award

2012-01-01
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Innovation Award

2011-01-01

Courses

BMDS 223 CSRE 323 EPI 220 BMDS 299 SURG 299 BIOE 391 EPI 399 MED 399 SURG 399 CME 291 NSUR 370 SURG 370 CME 391 EPI 199 MED 199 SURG 199

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.