390 Serra Mall Stanford, CA94305 youngtak at stanford.edu

I am currently a 4th 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

Publications

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 In submission, 2020+.

Replica symmetry breaking in multi-species Sherringtonâ€“Kirkpatrick model [arXiv][journal]
Erik Bates, Leila Sloman and Youngtak Sohn J.Stat.Phys.174(2019), no.2, 333-350.

Teaching

Teaching Assitantship at Stanford:

STATS 110, Statistical Methods in Engineering and the Physical Sciences, Summer 2019

STATS 218, Introduction to Stochastic Processes 2, Spring 2019

STATS 217, Introduction to Stochastic Processes 1, Winter 2019

STATS 217, Introduction to Stochastic Processes 1, Summer 2018

STATS 300B, Theory of Statistics, Winter 2018

STATS 305A, Introduction to Statistical Modeling, Autumn 2017

STATS 203, Introduction to Regression Models and Analysis of Variance, Summer 2017

STATS 218, Introduction to Stochastic Processes 2, Spring 2017

STATS 200, Inroduction to Statistical Inference, Autumn 2017