Sungho Shin is a postdoctoral researcher at the Mathematics and Computer Science Division at Argonne National Laboratory. He received his Ph.D. from the University of Wisconsin-Madison in 2021. He was a Summer intern at Los Alamos National Laboratory and Argonne National Laboratory. He was an undergraduate researcher at Jong Min Lee’s group at Seoul National University.

His research interests include model predictive control, optimization algorithms, and their applications to large-scale energy infrastructures (such as natural gas and power networks). He is the main developer of nonlinear optimization solver MadNLP.jl and automatic differentiation/algebraic modeling tool MadDiff.jl. He was the winner of the 2020 AIChE Annual Meeting CAST Directors’ Student Presentation Award, 2021 IFAC ADCHEM Young Author Award, and 2021 IFAC NMPC Young Author Award. He was a recipient of the Korea Presidential Science Fellowship, Kwanjeong Fellowship, and Grainger Wisconsin Distinguished Graduate Fellowship.

» Personal website