Jiaoyang Huang

Jiaoyang Huang
  • Assistant Professor of Statistics and Data Science

Contact Information

  • office Address:

    309 Academic Research Building
    265 South 37th Street
    Philadelphia, PA 19104

Research Interests: Random matrix theory, random graphs, interacting particle systems, optimization of deep neural networks, posterior sampling, and uncertainty quantification of large scale inverse problems.

Links: Personal Website, Google Scholar

Overview

Education

Ph.D. in Mathematics, Harvard University, 2019
Advisors: Horng-Tzer Yau

B.S. in Mathematics, Massachusetts Institute of Technology, 2014

B.S. in Computer Science and Technology, Tsinghua University, 2011

Academic Positions Held

Simons Junior Fellow (Postdoc Associate), Courant Institute of Mathematical Sciences, New York University, 2020-2022

Member, Institute for Advanced Study, 2019-2020

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Research

Teaching

Current Courses (Fall 2023)

  • AMCS6481 - Probability Theory

    Measure theoretic foundations, laws of large numbers, large deviations, distributional limit theorems, Poisson processes, random walks, stopping times.

    AMCS6481401

  • MATH6480 - Probability Theory

    Measure theoretic foundations, laws of large numbers, large deviations, distributional limit theorems, Poisson processes, random walks, stopping times.

    MATH6480401

  • STAT9300 - Probability Theory

    Measure theoretic foundations, laws of large numbers, large deviations, distributional limit theorems, Poisson processes, random walks, stopping times.

    STAT9300401 ( Syllabus )

All Courses

  • AMCS5999 - Independent Study

    Independent Study allows students to pursue academic interests not available in regularly offered courses. Students must consult with their academic advisor to formulate a project directly related to the student’s research interests. All independent study courses are subject to the approval of the AMCS Graduate Group Chair.

  • AMCS6481 - Probability Theory

    Measure theoretic foundations, laws of large numbers, large deviations, distributional limit theorems, Poisson processes, random walks, stopping times.

  • AMCS9999 - Ind Study & Research

    Study under the direction of a faculty member.

  • MATH4990 - Supervised Study

    Study under the direction of a faculty member. Intended for a limited number ofmathematics majors.

  • MATH6480 - Probability Theory

    Measure theoretic foundations, laws of large numbers, large deviations, distributional limit theorems, Poisson processes, random walks, stopping times.

  • STAT9300 - Probability Theory

    Measure theoretic foundations, laws of large numbers, large deviations, distributional limit theorems, Poisson processes, random walks, stopping times.

  • STAT9910 - Sem in Adv Appl of Stat

    This seminar will be taken by doctoral candidates after the completion of most of their coursework. Topics vary from year to year and are chosen from advance probability, statistical inference, robust methods, and decision theory with principal emphasis on applications.

Awards and Honors

  • 2022 Blavatnik Regional Awards, 2022
  • Simons Junior Fellow, 2020-2022
  • Harvard Graduate Society Term-time Research Fellowship, 2018-2019
  • Gold medal in the 50th International Mathematical Olympiad, 2009

In the News

Activity

Latest Research

Kenji Kawaguchi, Zhun Deng, Xu Ji, Jiaoyang Huang (2023), How Does Information Bottleneck Help Deep Learning?, Proceedings of the 40th International Conference on Machine Learning (ICML), 202.
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In the News

Interview by Simons Foundation
- 11/29/2021
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