I am a Stein Fellow in the Department of Statistics at Stanford University. I obtained my PhD degree in Applied and Computational Mathematics from Princeton University in May 2022 under the supervision of Professor Allan Sly and Professor Emmanuel Abbe. Prior to Princeton, I received my Bachelor of Science in Mathematics from University of Hong Kong. My research focuses on probability theory and theoretical machine learning.

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Talks

• Northwestern University Probability Seminar, Nov, 2023, Northwestern University.
• NUS Joint Statistics, Data Science & Machine Learning Seminar, Oct, 2023, Singapore.
• Stanford University Probability Seminar, Oct, 2023, Stanford University.
• Georgia Tech Stochastics Seminar, Sep, 2023, Georgia Tech.
• Peking University Summer School on Probability, Jun, 2023, Peking University.
• Stanford University Applied Math Seminar, May, 2023, Stanford University.
• Stanford University Women in Theory Forum, Apr, 2023, Stanford University.
• Duke University applied math and analysis seminar, Apr, 2023, Duke University.
• UC Davis Probability Seminar, Feb, 2023, UC Davis.
• UC Berkeley Probability Seminar, Nov, 2022, UC Berkeley.
• UC Irvine Combinatorics and Probability Seminar, Oct, 2022, UC Irvine.
• Stanford University Probability Seminar, Sep, 2022, Stanford University.
• NYU Student Probability Seminar, May, 2022, online.
• HKU Numerical Analysis Seminar, May, 2022, online.
• Penn Local Probability Seminar, Apr, 2022, University of Pennsylvania.
• JMM 2022, AAAS Special Session on Stochastic Processes on Networks, Apr, 2022, online.
• UIC Probability and Combinatorics Seminar, Mar, 2022, online.
• PACM Colloquium, Feb, 2022, Princeton University.
• 2022 Symposium on Foundations of Computer Science, Feb, 2022, online.
• LU-NU-UMN Joint Probability Seminar, Feb, 2022, online.
• Stanford Statistics Seminar, Feb, 2022, online.
• PACM Graduate Student Seminar, Jan, 2022, Princeton Univeristy.
• Harvard Probabilitas Seminar, Dec, 2021, online.
• Northeast Probability Seminar, Nov, 2021, online.
• MoDL Annual Meeting, Oct, 2021, Simons Foundation in New York.
• Banff Workshop, Random Graphs and Statistical Inference, Aug, 2021, online.
• Columbia-Princeton Probability Day, May, 2021, online.
• PACM Graduate Student Seminar, Apr, 2021, online.
• University of Basel Seminar in Probability Theory and Statistics, Apr, 2021, online.
• MoDL Monthly Meeting, Apr, 2021, online.
• PACM Graduate Student Seminar, Feb, 2021, online.
• Northeast Probability Seminar, Nov, 2020, online.
• PACM Graduate Student Seminar, Nov, 2019, Princeton Univeristy.
• Graduate Student Probability Seminar, Oct, 2019, Duke University.
• International Workshop on Inference on Graphical Models, Oct, 2019, Columbia University.

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Teaching

Instructor:
• STATS218 Introduction to Stochastic Processes II, Spring 2024.
• STATS317 Stochastic Processes, Winter 2024.
• STATS218 Introduction to Stochastic Processes II, Spring 2023.
• STATS116 Theory of Probability, Fall 2022.

Assistant instructor:
• MAT100 Calculus Foundations, Fall 2020.
• MAT201 Multivariable Calculus, Fall 2019.
• MAT202 Linear Algebra with Applications, Spring 2019.

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Services

• Stanford Statistics Seminar (Organizer: Winter 2023, Winter 2024, Summer 2024).
• Stanford Probability Seminar (Organizer: Spring 2023).

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Miscellaneous

I have a twin sister Shuangning Li. She graduated from Stanford University and is at Harvard University now. She works in statistics. Here is a quiz on my sister's website: Can you tell us apart?

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Last update: 2023/08. Template adapted from Danqi Chen's.
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