Dr. Maximilian Diehn

Professor

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Biography

Dr. Maximilian Diehn is a Professor in the Department of Radiation Oncology at Stanford University. He completed his MD and PhD in Biophysics at Stanford University in 2004, where he also engaged in significant clinical training in Radiation Oncology. His research focuses on the development of genomics-based biomarkers for cancer detection and treatment, particularly in lung and breast cancers. Dr. Diehn's lab works to understand cancer stem cell biology and the implications for therapy, aiming to identify genes and pathways critical for the survival and self-renewal of cancer stem cells. He is actively involved in clinical trials assessing novel treatments, imaging biomarkers, and the efficacy of combined therapies in non-small cell lung cancer. He has received numerous awards for his research and clinical contributions, including the Doris Duke Clinical Scientist Development Award and the NIH Director's New Innovator Award. His professional memberships include the American Society of Therapeutic Radiology and Oncology (ASTRO) and the Radiological Society of North America (RSNA). Dr. Diehn is dedicated to advancing cancer treatment through innovative research and clinical excellence.

Research Interests

Experience

Professor

2011-01-01 — Present

Stanford University • Stanford, CA

Leading research and clinical programs in Radiation Oncology.

Awards

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Thomas Temple Hoopes Prize

1997-06-01
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Doris Duke Clinical Scientist Development Award

2010-01-01
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NIH Director's New Innovator Award

2013-01-01

Courses

CBIO 299 RADO 299 STEMREM 299 RADO 280 CBIO 399 RADO 399 STEMREM 399 PHYSICS 190 RADO 370 STEMREM 370 BIOE 191X BIO 300X RADO 101 CBIO 260 RADO 199 STEMREM 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.