Dr. Eugene Shkolyar

Assistant Professor

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Biography

Eugene Shkolyar is a urologic oncologist specializing in treating patients with bladder, prostate, kidney, and testis cancers. He is a Clinical Assistant Professor in the Department of Urology at Stanford School of Medicine. Dr. Shkolyar has expertise in open, endoscopic, and robotic surgery for complex urologic oncology needs. He is actively engaged in translational research, with a particular interest in integrating artificial intelligence into bladder cancer treatment and the development of novel biomarkers for cancer detection. His commitment to continual innovation ensures that patients have access to the latest effective treatment options. Originally from Kyiv, Ukraine, Dr. Shkolyar was raised in New York and completed his undergraduate education at Cornell University before attending UCLA for medical school. He completed his residency in urology at Stanford, where he developed his interest in urologic oncology and translational bladder cancer research. After residency, he completed a two-year fellowship in urologic oncology at Stanford School of Medicine, gaining additional skills in managing complex urologic cancers. Dr. Shkolyar has received numerous honors, including membership in the Alpha Omega Alpha medical honors society and the Urology Care Foundation's research scholar award. He has authored and co-authored many publications in urology, artificial intelligence, and device development, and is a member of several professional organizations.

Research Interests

Awards

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Research Scholar Award

2022-07-01
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Resident Teaching Award

2021-07-01

Patents

Methods and systems for cystoscopic imaging incorporating machine learning

US Patent Number TBD

Joint patent with Joseph Liao, Lei Xing, and Xiao Jia.

N/A

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.