Dr. Suzan Carmichael

Professor

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Biography

Suzan L. Carmichael is a perinatal nutritional epidemiologist and Professor of Pediatrics (Neonatology) and Obstetrics & Gynecology (Maternal Fetal Medicine) at Stanford University School of Medicine. Her research focuses on improving maternal and infant health outcomes, with particular interest in the interplay between various types of exposures and health disparities affecting mother-baby dyads in both domestic and global settings. Her exposure themes include nutrition, social context, care, environmental contaminants, and genetics, while outcome themes comprise severe maternal morbidity, stillbirth, birth defects, and preterm delivery. Dr. Carmichael's collaborative research integrates epidemiologic methodologies, community engagement, and systems thinking to identify effective leverage points for change in health equity. She is a member of the Administrative Appointments as Co-Director of Perinatal Epidemiology & Population Health at the Dunlevie Maternal Fetal Medicine Center since 2022, and has held various esteemed positions in academia and public health.

Research Interests

Experience

Professor (Research)

2022-01-01 — Present

Stanford University School of Medicine • Stanford, CA

Research focus on improving maternal and infant health outcomes.

Adjunct Professor

2022-01-01 — Present

Tulane University School of Public Health & Tropical Medicine • Tulane, LA

Adjunct role in Epidemiology.

Epidemic Intelligence Service Officer

1996-01-01 — 1998-01-01

CDC • Atlanta, GA

Engaged in public health strategies and epidemiology.

Awards

#

Fulbright Scholar Award

2023-01-01
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Scholars Service Award

2022-01-01

Courses

CHPR 399 CHPR 290 CHPR 299 EPI 299 PEDS 299 PEDS 280 EPI 399 PEDS 399 PEDS 370 PEDS 199 EPI 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.