Dr. Stephen Skirboll

Associate Professor

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Biography

Stephen Skirboll is an Associate Professor in the Department of Neurological Surgery at Stanford University, where he focuses on innovative research to enhance the understanding of cancer stem cells in human gliomas. His work involves multiple approaches to characterize these cells, including the use of novel colony-forming antibody live cell arrays to identify distinct cancer stem cell surface phenotypes. He also engages in RNA interference screens to pinpoint critical kinases involved in tumorigenicity, alongside high-throughput small molecule chemical screens designed to discover compounds that selectively target and kill cancer stem cells. Additionally, he is involved in identifying cancer stem cells via tumor-specific markers. He has been recognized for his contributions to the field, receiving the Neuro-Oncology Award from the Congress of Neurological Surgeons in 2011. His professional training includes a residency in surgery at the University of Washington and a medical degree from the University of Pennsylvania.

Research Interests

Experience

Associate Professor

— Present

Stanford University • Stanford, California

Teaching and conducting research in the Department of Neurological Surgery.

Associate Professor

— Present

VA Palo Alto Health Care System • Palo Alto, California

Clinical duties in the Dept of Neurosurgery.

Awards

#

Neuro-Oncology Award

Courses

NSUR 199 NSUR 280 NSUR 299 NSUR 370 NSUR 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.