Dr. Michael Gensheimer

Assistant Professor

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Biography

Michael Gensheimer is a Clinical Associate Professor in the Department of Radiation Oncology at Stanford University, with a focus on radiation therapy practices, particularly in the treatment of head and neck cancers, lung cancer, and skin cancer. He has been a member of the Stanford Cancer Institute's Data Safety Monitoring Committee since 2018 and has served as its chair since 2020. His research interests intertwine clinical research with advancements in machine learning and computer science, aiming to develop tools for analyzing large datasets to enhance cancer treatment outcomes and patient safety. His work includes a significant contribution to the development of a machine learning prognostic model utilizing data from 13,000 patients with metastatic cancer, producing outcomes that surpass traditional models. Gensheimer has also completed a prospective randomized study to improve advance care planning discussions in patient care and has collaborated with the Stanford Research Informatics Center to investigate electronic medical records' efficacy in capturing survival data. His educational background includes a medical degree from Vanderbilt University and undergraduate honors in Physics from Harvard College. Gensheimer has received several awards, including the ESMO Congress Merit Award and the HIMSS Davies Award for excellence in health informatics.

Research Interests

Experience

Clinical Associate Professor

— Present

Stanford University • Stanford, CA

Teaching and conducting research in Radiation Oncology.

Awards

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ESMO Congress Merit Award

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Henry S. Kaplan Memorial Prize

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HIMSS Davies 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.