Dr. Roxana Daneshjou

Assistant Professor

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Biography

Roxana Daneshjou is an Assistant Professor in the Department of Biomedical Data Science and the Department of Dermatology at Stanford University. She earned her MD and PhD in Genetics from Stanford, following her undergraduate studies in Bioengineering at Rice University. She completed her dermatology residency and a postdoctoral fellowship in Biomedical Data Science at Stanford, under the guidance of prominent faculty such as Dr. Russ Altman and Dr. James Zou. Dr. Daneshjou currently directs the Stanford Skin Innovation Interventional Research Group and serves as the assistant director of the Center of Excellence for Precision Health & Pharmacogenomics. She is involved in several academic initiatives, including the Translational AI Dermatology group and the Human-centered Artificial Intelligence centers. Her professional affiliations include editing for the Journal of Investigative Dermatology and serving on various advisory committees. Dr. Daneshjou's research and clinical focus revolves around the integration of AI technologies in dermatology, emphasizing precision health and pharmacogenomics.

Research Interests

Experience

Assistant Professor

2020-01-01 — Present

Stanford University • Palo Alto, CA

Teaching and research in Biomedical Data Science and Dermatology.

Awards

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Everett C. Fox Memorial Award

2019-01-01
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Paul & Daisy Soros Fellowship for New Americans

Courses

BMDS 201A BMDS 201B BMDS 201C BMDS 218 CS 287 BMDS 299 BMDS 399 BMDS 370 BIOE 191X BIOMEDIN 201 BIODS 201

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.