Xingguo Li

I am a Quantitative Researcher at Radix. Prior to Radix, I was a Postdoctoral Research Associate in the Computer Science Department at Princeton University, working with Prof. Sanjeev Arora. Before that, I received my Ph.D. in the Department of Electrical and Computer Engineering, University of Minnesota, under the supervision of Prof. Jarvis Haupt.

Here is my CV and Google Scholar profile.

Research Interest

My research interests generally include machine learning, deep learning, and optimization, with application in quantitative trading, data science, and applications.

Selected Publications


  • Postdoctoral Research Associate, September 2018 — Present
    Department of Computer Science, Princeton University
    Supervisor: Prof. Sanjeev Arora

  • Visiting Graduate Scholar, March 2017 — April 2018
    School of Industrial & Systems Engineering, Georgia Institute of Technology
    Host: Prof. Tuo Zhao

  • Visiting Researcher, August 2016 — September 2016
    IBM Research Almaden
    Host: Prof. David P. Woodruff

  • Visiting Graduate Scholar, May 2016 — August 2016
    Department of Computer Science, Johns Hopkins University
    Host: Prof. Raman Arora

  • Graduate Research Assistant, September 2013 — July 2018
    Department of Electrical and Computer Engineering, University of Minnesota
    Supervisor: Prof. Jarvis Haupt

  • Research Associate, August 2010 — June 2011
    School of Computer Science, Carnegie Mellon University
    Supervisor: Prof. Fernando De la Torre and Prof. Alexander G. Hauptmann

Selected Awards

  • (March 2018) I was awarded IBM Herman Goldstine Memorial Postdoctoral Fellowship. (Declined and joined the Princeton University)

  • (August 2017) I was awarded 2017-18 Doctoral Dissertation Fellowship by University of Minnesota Twin Cities.

  • (July 2017) Out paper “Target Based Hyperspectral Demixing via Generalized Robust PCA” was in the Best Student Paper Award Finalist at the 2017 Asilomar Conference on Signals, Systems, and Computers (Asilomar).

  • (January 2016) Our paper “The picasso Package for Nonconvex Regularized M-estimation in High Dimensions in R” received the Best Student Paper Award from the American Statistical Association Statistical Computing Section.

  • (November 2015) Our paper “Locating Salient Group-Structured Image Features via Adaptive Compressive Sensing” received the Best Student Paper Award at the 2015 Global Conference on Signal and Information Processing (GlobalSIP).

  • (Summer of 2014 — 2016) I was awarded Google Summer of Code.

  • (May 2013) I received the Outstanding Graduate Award of Class 2013 form the Department of of Mathematics and Statistics, University of Minnesota Duluth.


Email: xingguo dot leo at gmail dot com