Minseok Ryu is a Ph.D. candidate in the Department of Industrial and Operations Engineering (IOE) at the University of Michigan (U-M). He obtained both bachelor’s and master’s degrees from the Korea Advanced Institute of Science and Technology (KAIST).
His research interests are in the fields of operations research and data analytics, especially methodologies for data-driven prescriptive analytics, with applications in healthcare operations and energy systems.
Minseok is a Michigan Institute of Computational Discovery and Engineering (MICDE) student fellow (since 2015), and a recipient of the U-M Rackham graduate student research grant and IOE department fellowship. He worked in the Los Alamos National Lab as a research intern in Summer 2019 and is the sole instructor for an undergraduate core course – IOE 310: Introduction to Optimization Methods in Fall 2019.
Academic Advisor: Ruiwei Jiang
Position Sought: Academic
Student Lecturer (Fall 2019): IOE 310 – Introduction to Optimization Methods