Jaehyeok Bae

About

Hello! I am a second-year Ph.D. student in the Department of Electrical Engineering at Stanford University, where I am advised by Prof. Kawin Setsompop and Prof. John M. Pauly.

My research interests lie at the intersection of machine learning, computer vision, and biomedical imaging. Specifically, I focus on optimizing data acquisition and image reconstruction using deep learning-based accelerated MRI techniques. My goal is to develop next-generation medical imaging methods that significantly contribute to patient diagnosis and care.

Education

Stanford University Sep 2024 – Present

Ph.D. in Electrical Engineering — Stanford, CA

Seoul National University Mar 2016 – Aug 2023

B.S. in Electrical and Computer Engineering — Seoul, South Korea
Summa Cum Laude (5^th place / 148)  ·  Total GPA: 4.23 / 4.30  (Major GPA: 4.27 / 4.30)
* Served mandatory military service between 2018 – 2019

Publications

* denotes equal contribution.

Work Experience

Gauss Labs Inc. Jan 2022 – Nov 2022

Computer Vision Applied Scientist Intern

• Proposed a novel anomaly detection and localization algorithm for industrial datasets, by training a normal feature distribution using position and neighborhood information of local features.

Honors and Awards

• Magna Cum Laude Merit Award, ISMRM Annual Meeting — 2025
• 2nd place in the 2022 SNU FastMRI Challenge, Seoul National University — 2022
• Silver Medal in the University Students Mathematics Contest, Korean Mathematical Society — 2017

Scholarships

• ILJU Overseas Ph.D. Scholarship, ILJU Academy & Culture Foundation — 2024 – Present
  5-year research award and merit-based prize for academic excellence.
• Presidential Science Scholarship, Korea Student Aid Foundation (KOSAF) — 2016 – 2021
  4-year full tuition and additional stipends ($5,000 / year) for academic excellence.