Dr. Eric Strong

Assistant Professor

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Biography

Eric Strong is a Clinical Associate Professor in the Department of Medicine at Stanford University, specializing in Hospital Medicine and Internal Medicine. He has a rich background in medical education, having earned his B.S. in Biology from the Massachusetts Institute of Technology and his medical degree from New York University School of Medicine. Following his education, he completed his residency at Stanford University in Internal Medicine. Eric has been recognized with several awards, including the Henry J. Kaiser Family Foundation Awards for Excellence in Clinical Teaching and Outstanding Contributions to Medical Education, underscoring his commitment to teaching and student wellness. His research interests lie in physical diagnosis, ECG interpretation, generative AI, and clinical reasoning. He is actively involved in mentoring students and has engaged with various international community programs, particularly in addressing domestic violence in Papua New Guinea. Eric's contributions to both education and clinical practice demonstrate his dedication to advancing the field of medicine through innovative teaching and scholarship.

Research Interests

Experience

Clinical Associate Professor

— Present

Stanford University • Stanford, CA

Clinical Associate Professor in the Department of Medicine specializing in Hospital Medicine.

Awards

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Award for Excellence in Promotion Learning Environment & Student Wellness

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Stanford University Department of Medicine Teaching Award

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Lawrence H. Mathers Award

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Henry J. Kaiser Family Foundation Award for Excellence in Clinical Teaching

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Outstanding Teaching of Medical Residents Award

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Henry J. Kaiser Family Foundation Award for Outstanding & Innovative Contributions to Medical Education

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Henry J. Kaiser Family Foundation Teaching Award

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.