Sen Na

Sen Na

Postdoc in Statistics and ICSI

University of California, Berkeley

I am currently a postdoctoral researcher in the Department of Statistics and International Computer Science Institute (ICSI) at UC Berkeley, working with Michael W. Mahoney.

I received my Ph.D. degree in statistics from the University of Chicago in 2021, under the supervision of Mihai Anitescu and Mladen Kolar. Before attending UChicago, I received my B.S. degree in mathematics from Nanjing University in 2016. I also visited the Statistics department at UC Davis as an exchange student and worked with Jane-Ling Wang, Hans-Georg Müller, and Christiana Drake in 2015.

I am broadly interested in the mathematical foundations of data science, with topics including high-dimensional statistics, graphical models, semiparametric models, optimal control, and large-scale and stochastic nonlinear optimization. I am also interested in the applications of machine learning methods in biology, neuroscience, and engineering.

(I’m on the 2023-2024 job market. Happy to chat if you have any information.)

  • High-dim estimation & inference
  • Probabilistic graphical models
  • Semiparametric models
  • Stochastic optimization
  • Uncertainty quantification
  • Optimal control
  • Scientific machine learning
  • Ph.D. in Statistics, 2021

    University of Chicago

  • B.S. in Mathematics, 2016

    Nanjing University

  • Exchange student in Statistics, 2015

    University of California, Davis