Seiyun Shin

Bio

Hello everyone! I am a Ph.D. student in the department of Electrical and Computer Engineering at University of Illinois at Urbana Champaign (UIUC). I am under the supervision of Prof. Ilan Shomorony and Prof. Han Zhao. My research is partly supported by Kwanjeong Educational Foundation Fellowship and Mavis Future Faculty Fellow in UIUC. Prior to joining UIUC, I received my M.S. degree from the department of Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST). As a graduate student, I studied information theory under the supervision of Prof. Changho Suh. I also graduated Summa Cum Laude, earning B.S. degrees in both Electrical Engineering and Mathematics (double-major) from KAIST.

I also spent time in Electronics and Telecommunications Research Institute (ETRI), a government-funded research institute in South Korea, as part of my mandatory military service.

Education

Research Interests

I seek to gain insight into fundamental problems that are practically relevant. My research interests lie at the intersection of theoretical machine learning, algorithm design, and information theory. Within these disciplines, I seek to achieve two closely-related goals. One is to characterize the fundamental limits of the amount and quality of data required for reliable estimation and learning; the other is to develop computationally efficient algorithms that can provably achieve these limits.. Specifically, I am working on establishing sample complexity in GraphML (e.g., graph neural networks), instance-adaptive algorithms, and multi-armed bandits.

Conference Papers

Journal Papers

Honors and Awards

Academic Service

Teaching

I have taught the following courses as a teaching assistant (TA) in my undergraduate and graduate years:

@ UIUC:

@ KAIST: