Jiaoyang Huang

Jiaoyang Huang
  • Associate Professor of Statistics and Data Science
  • Associate Professor of Mathematics (secondary appointment)

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

Past 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.

  • AMCS9950 - Dissertation

    Allows for a PhD student to be enrolled full-time to work exclusively on research, writing and preparing his/her doctoral thesis and defense. All required coursework (20 CUs) must be completed, and the student must have passed his/her thesis proposal/oral candidacy examination prior to being enrolled.

  • AMCS9990 - Masters Thesis

    For students writing a Master's Thesis to fulfill the program's requirements. All required coursework (8 CUs) must be completed prior to being enrolled.

  • 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.

  • STAT4300 - Probability

    Discrete and continuous sample spaces and probability; random variables, distributions, independence; expectation and generating functions; Markov chains and recurrence theory.

  • 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 is for graduate students who wish to learn about current research frontiers. It covers advanced topics in probability, statistical theory and methods, applied statistics, data science and artificial intelligence. Specific topics vary from year to year and emphasize both theoretical foundations and applications.

Awards And Honors

In the News

Knowledge @ Wharton

Activity

Latest Research

Yifan Chen, Daniel Zhengyu Huang, Jiaoyang Huang, Sebastian Reich, Andrew M Stuart (2024), Efficient, Multimodal, and Derivative-Free Bayesian Inference With Fisher-Rao Gradient Flows, , 40 (12).
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In the News

Examining Equity and Opportunity in NFL Coaching Searches

Wharton emeritus professor of legal studies and business ethics discusses the NFL’s record on racial equity, the effectiveness of the Rooney Rule, and the implications of the Brian Flores lawsuit.…Read More

Knowledge @ Wharton - 2026/06/5
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Awards and Honors

NSF Career Award 2024
All Awards