Dr. Martin Angst

Professor

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Biography

Martin S. Angst is a Professor in the Department of Anesthesiology and Perioperative Pain Medicine at Stanford University, specializing in anesthesia and pain management. His extensive research interests include studying the biological and clinical characteristics that drive resilience in patients undergoing surgical procedures, along with exploring the impact of interventional injury models on recovery outcomes. His work incorporates advanced methodologies from clinical, natural, and computational sciences to address critical questions concerning human fitness and pain management strategies. Angst is involved in several clinical trials aimed at enhancing patient recovery post-surgery and understanding immune responses to surgical trauma. He has been recognized for his exceptional contributions to teaching, research, and clinical care within the Stanford University School of Medicine. He has also served in leadership roles, including Vice Chair for Strategy Initiatives and Director of Strategic Initiatives Operations.

Research Interests

Experience

Professor

2010-01-01 — Present

Stanford University School of Medicine • Palo Alto, California

Professor of Anesthesiology and Perioperative Pain Medicine, involved in teaching and clinical practice.

Vice Chair

2022-01-01 — Present

Stanford University School of Medicine • Palo Alto, California

Responsible for strategy initiatives in the Department of Anesthesiology.

Director

2019-01-01 — 2022-01-01

Stanford University School of Medicine • Palo Alto, California

Managed the Operations of CTA Strategic Initiatives.

Awards

#

Ellis N Cohen Award

2025-06-01

Courses

ANES 199 ANES 280 ANES 299 ANES 370 ANES 399

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.