Dr. Julia Simard

Associate Professor

Build a Statement of Purpose

Generate a tailored SOP for Dr. Julia Simard. Improve your application with a focused, well-structured draft.

Biography

Julia Fridman Simard, ScD, is an Associate Professor in the Department of Epidemiology and Population Health at Stanford University School of Medicine. She specializes in the clinical epidemiology of systemic autoimmune rheumatic diseases, particularly focusing on Systemic Lupus Erythematosus (SLE). Dr. Simard completed her postgraduate training at Karolinska Institutet, where she began her research into the clinical and epidemiologic aspects of SLE. Her work integrates population-based data from Sweden to investigate the risks associated with pregnancy in women with SLE and other rheumatic diseases, earning her significant awards, including the prestigious NIH K01 career development award. She leads a major international study on the use of hydroxychloroquine during pregnancy for patients with lupus, reflecting her commitment to enhancing maternal fetal health outcomes. Additionally, Dr. Simard's research interests extend to addressing social determinants of health and health disparities in women's health, while her methodological focus addresses the implications of misclassification and bias in clinical decision-making. Her extensive background includes key editorial roles, substantial grant funding, and a robust publication record in rheumatology and epidemiology.

Research Interests

Experience

Associate Professor

2013-01-01 — Present

Stanford University School of Medicine • Stanford, CA, USA

Teaching and conducting research in epidemiology, focusing on systemic autoimmune diseases.

Postdoctoral Fellow

2010-01-01 — 2011-01-01

Karolinska Institutet • Stockholm, Sweden

Conducted research in clinical epidemiology.

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.