Dr. Jonathan Fan

Associate Professor

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Biography

Jonathan Fan is an Associate Professor in the Department of Electrical Engineering at Stanford University. His research interests encompass electromagnetics and photonics engineering, with applications in artificial intelligence, additive manufacturing, computational displays, and sustainable chemical production. He earned his bachelor's degree with the highest honors from Princeton University and obtained his doctorate from Harvard University. Fan has received numerous accolades including the Air Force Young Investigator Award, Sloan Foundation Fellowship in Physics, Packard Foundation Fellowship, and the Presidential Early Career Award for Scientists and Engineers. He has published extensively and is a frequent speaker at international conferences. Currently, he leads the Fast Turnaround Facility at the Stanford Nanofabrication Facility, focusing on innovative research and educational initiatives in optical engineering, nanomaterials, and machine learning-based optimization strategies for inverse design. His courses include advanced topics in electrical engineering and materials science, and he actively mentors PhD and master's students through their academic journeys at Stanford.

Research Interests

Experience

Associate Professor

2014-01-01 — Present

Stanford University • Stanford, California

Teaching and leading research in electrical engineering, focusing on optics and nanotechnology.

Awards

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Air Force Young Investigator Award

2015-01-01
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Sloan Foundation Fellowship in Physics

2016-01-01
#

Packard Foundation Fellowship

2016-01-01
#

Presidential Early Career Award for Scientists and Engineers

2014-01-01

Courses

EE 142 EE 392 MATSCI 200 EE 300 MATSCI 300 EE 191 EE 191A EE 391 EE 191W EE 190 EE 390 EE 242 EE 312 EE 42 ENGR 42 APPPHYS 483 ENGR 241

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.