390 Serra Mall
Stanford, CA 94305
youngtak at stanford.edu
I am currently a 5th year PhD candidate at the Stanford Statistics department, advised by Amir Dembo. I am
broadly interested in probability theory and high-dimensional statistics.
Prior to joining Stanford, I received a bachelor's degree in mathematics at Seoul National University. Here is my CV
- One-step replica symmetry breaking of random regular NAE-SAT
Danny Nam, Allan Sly and Youngtak Sohn
Work in progress.
- The generalization error of max-margin linear classifiers: High-dimensional asymptotics in the overparametrized regime [arXiv]
Andrea Montanari, Feng Ruan, Youngtak Sohn and Jun Yan
- Replica symmetry breaking in multi-species Sherrington–Kirkpatrick model [arXiv][journal]
Erik Bates, Leila Sloman and Youngtak Sohn
J.Stat.Phys.174(2019), no.2, 333-350.
- Teaching Assistantship at Stanford:
- STATS 305B, Modern Applied Statistics: Data Mining, Spring 2020
- STATS 203, Introduction to Regression Models and Analysis of Variance, Winter 2020&Summer 2017
- STATS 110, Statistical Methods in Engineering and the Physical Sciences, Summer 2019
- STATS 218, Introduction to Stochastic Processes 2, Spring 2019&Spring 2017
- STATS 217, Introduction to Stochastic Processes 1, Winter 2019&Summer 2018
- STATS 300B, Theory of Statistics, Winter 2018
- STATS 305A, Introduction to Statistical Modeling, Autumn 2017
- STATS 200, Inroduction to Statistical Inference, Winter 2017