Hyebin Song

Ph.D candidate

University of Wisconsin-Madison


I am currently a PhD candidatein the Department of Statistics at the University of Wisconsin-Madison under the supervision of Professor Garvesh Raskutti. My research interests broadly focus on developing statistical methodologies and models to overcome statistical and computational challenges in modern data sets. My recent works are related to semi-parametric inferences in high dimensions and applied problems in complex protein modeling.


  • Statistical Learning
  • High-dimensional Statistics
  • Statistical Computing


  • PhD in Statistics, 2020

    University of Wisconsin-Madison

  • BA in Applied Statistics, 2012

    Yonsei University


  • hsong56@wisc.edu
  • 1250J Medical Sciences Center, 1300 University Avenue, Madison, WI, 53706, United States


  • Theory and Application of Regression and Analysis of Variance II (2018 Spring)
  • Introduction to Theory and Methods of Mathematical Statistics II (2016 Fall)
  • Statistical Experimental Design (2016 Fall)
  • Introductory Applied Statistics for Engineers (2016 Spring)
  • Introduction to Statistical Methods (2015 Spring, 2015 Fall, 2017 Spring)
  • Introductory Applied Statistics for the Life Sciences (2014 Fall)

Honors and Awards

  • ASA SLDS Student Paper Competition Winner, ASA Statistical Learning and Data Science, Jan 2018
  • Gateway course Teaching Assistant Award, Department of Statistics, UW-Madison, May 2017
  • Highest Honor Awards, Yonsei Univerisity, 2008, 2010, 2011
  • Merit-based Scholarships, Yonsei University, 2007, 2008, 2010
  • GE scholarship, Fulbright, 2007


  • GitHub

  • The PUlasso package, Available for download on cran. “Top 40” New Package Picks by R Views, An R community blog edited by RStudio, in Dec 2017 (link).