Dr. Brice Gaudilliere

Professor

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Biography

Brice Gaudilliere is a Professor in the Department of Anesthesiology and Perioperative Pain Medicine at Stanford University. He was born in France and completed his engineering degree at Ecole Polytechnique before earning his MD-PhD from the Harvard-MIT Health Sciences Technology program. He undertook his postdoctoral fellowship at Stanford University in Garry Nolan's laboratory. Dr. Gaudilliere's research focuses on understanding the human immune system's response to various physiological and pathological stressors, utilizing high-dimensional mass cytometry and proteomic approaches. His ongoing studies investigate immune mechanisms in surgical recovery, preterm birth, and immune dysfunction outcomes in COVID-19 patients. As a board-certified anesthesiologist, he is actively involved in clinical practices and teaching at Stanford. Dr. Gaudilliere has received several awards for his contributions to biomedical research, including the Promise Award from the Doris Duke Charitable Foundation and recognition from the International Anesthesia Research Society.

Research Interests

Experience

Professor

— Present

Stanford University • Stanford, CA

Leading research on human immune responses and teaching in the field of anesthesiology.

Awards

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Promise Award

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Kozaka Research Award

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Stanford Society Physician Scholar's Award

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Albert J. Ryan Fellowship

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Carnot Foundation Scholarship

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George Lurcy's Fellowship

Patents

Flow Cytometry Methods for Diagnosis of Prolonged Convalescence After Traumatic Injury

S13-373

Methods for flow cytometry to diagnose immune responses.

Methods and Compositions for Modulating Synapse Formation

Techniques to enhance synapse formation related to neurological recovery.

Courses

ANES 399 ANES 370 ANES 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.