Dr. Lisa Goldman Rosas

Associate Professor

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Biography

Lisa Goldman Rosas, PhD MPH is an Associate Professor in the Department of Epidemiology and Population Health and the Department of Medicine at Stanford School of Medicine. She is a trained epidemiologist whose research focuses on addressing disparities in diet-related chronic diseases such as diabetes, heart disease, and cancer, particularly among populations facing food insecurity. Her work employs both rigorous quantitative and qualitative methodologies, including participatory approaches and shared leadership with patient and community partners. Dr. Goldman Rosas is passionate about integrating patients, caregivers, and community organizations into the research process to foster health improvements. She also serves as the Faculty Director of the Office of Community Engagement at the School of Medicine and Co-Director of the Community-Engaged Research Office at the Stanford Cancer Institute. Dr. Goldman Rosas teaches at both undergraduate and graduate levels, emphasizing the importance of community engagement methods. Her extensive experience includes roles such as Associate Director of Community Engagement at the Center for Population Health Sciences and involvement in various professional organizations, including the Society of Behavioral Medicine.

Research Interests

Experience

Associate Professor (Research)

2018-01-01 — Present

Stanford School of Medicine • Palo Alto, California

Associate Professor working primarily in Epidemiology and Population Health, focusing on chronic diseases and their intersection with food insecurity.

Administrative Director

2018-01-01 — Present

Stanford Cancer Institute • Palo Alto, California

Co-Director of Community-Engaged Research, focusing on health equity.

Courses

CHPR 227 EPI 272 CHPR 399 CHPR 290 CHPR 299 EPI 299 MED 299 MED 280 EPI 399 MED 399 HUMBIO 194 HUMBIO 193 EPI 199 MED 199 EPI 236

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.