Openings

I am looking for highly motivated PhD students. Please feel free to contact me if you find my research interests well matched with yours.

I am currently not looking for master students or postdocs, regardless of their funding status.

If you are an undergraduate student at UW Madison with very strong programming experiences with deep learning frameworks, please contact me with your portfolio.

Postdocs

 

Dr. Daewon Seo

His research lies in theories and fundamental limits of machine learning, from information-theoretic perspective. Before joining UW-Madison, he obtained Ph.D. in ECE from UIUC and M.S. and B.S. in EE from KAIST (Korea).

PhD students

 

Changhun Jo (Math)

Changhun is interested in theoretical understanding of machine learning. He obtained his B.S. in Mathematics and B.A. in Economics from Seoul National University in 2016. His awards include the KFAS (Korea Foundation for Advanced Studies) Fellowship and Gold medals at National Mathematics Competition for Undergraduate Students in Korea in 2011 and 2012.

 

Tuan Dinh (CS)

Tuan's research interests span over various topics in machine learning, especially representation learning, deep generative models and applied research in biomedical science. He received his B.E. in Computer Sciences from University of Technology, Vietnam National University in 2015.

Undergraduate students

 

Hyecheol Jang (CS/Stat)

Hyecheol is interested in synthetic data generation for deep learning applications. His awards include the Silver medal at International Robot Olympiad in 2016.

Visiting scholars

 

Zhixu Du (Math/CS, visiting student from the University of Hong Kong)

Zhixu is interested in mathematical fundations of machine learning and deep learning, computer vision, deep learning-based AI.

Alumni (visiting scholars)

 

Jy-yong Sohn (10/2019 – 03/2020, co-host with Prof. Dimitris Papailiopoulos)

Jy-yong is currently pursuing the Ph.D. degree at KAIST, and his research interests include coding theory, information theory, and distributed machine learning. He received the B.S. and M.S. degrees in electrical engineering from KAIST, in 2014 and 2016. He received the KAIST Global Leader Fellowship in 2019, the KAIST EE Best Research Achievement Award in 2018, the IEEE International Conference on Communications (ICC) Best Paper Award in 2017, and the Qualcomm-KAIST Innovation Award in 2015, 2019.

Furry collaborators

 

Bokdol Lee (Math)

Bokdol is a Maltese from South Korea. He is interested in understanding the mathematical underpinnnings of running and jumping. He gets his most creative ideas while taking naps. His ultimate goal is to win a dog traithlon using his theories. His awards include the International Cuteness Award and the International Handsomeness Award.