Dr. Gordon Wetzstein

Assistant Professor

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Biography

Gordon Wetzstein is an Associate Professor of Electrical Engineering with a courtesy appointment in Computer Science at Stanford University. He leads the Stanford Computational Imaging Lab and serves as the faculty co-director of the Stanford Center for Image Systems Engineering. His research encompasses a wide range of applications including next-generation imaging, wearable computing, and neural rendering systems, effectively bridging the fields of computer graphics, vision, artificial intelligence, computational optics, and applied vision science. Over the years, Prof. Wetzstein has received numerous accolades including the NSF CAREER Award, Alfred P. Sloan Fellowship, and the ACM SIGGRAPH Significant New Researcher Award among others. He has also been recognized as a Fellow of Optica and received the Presidential Early Career Award for Scientists and Engineers (PECASE). Prof. Wetzstein is actively involved in mentoring and advising students in various capacities, and he engages in professional collaboration as a Research Scientist at the Massachusetts Institute of Technology's Media Lab.

Research Interests

Experience

Research Scientist

2014-01-01 — Present

Massachusetts Institute of Technology, Media Lab, Media Arts and Sciences • Cambridge, MA

Conducting research in the area of computational imaging and graphics.

Awards

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NSF CAREER Award

2016-01-01
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ACM SIGGRAPH Significant New Researcher Award

2018-01-01
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Presidential Early Career Award for Scientists and Engineers (PECASE)

2019-01-01

Courses

CS 448I EE 367 EE 292E EE 267 EE 267W CS 499 CS 390A CS 390B CS 390C CS 399 CS 390D CS 191 EE 191 EE 391 EE 191W EE 190 EE 390 CS 195 CS 191W

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.