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

• Spectral clustering in the geometric block model
  Stanford University applied math seminar, May, 2023, Stanford University.
• Spectral clustering in the geometric block model
  Stanford University Women in Theory Forum, Apr, 2023, Stanford University.
• Spectral clustering in the geometric block model
  Duke University applied math and analysis seminar, Apr, 2023, Duke University.
• Strong freezing of the binary perceptron model
  UC Davis probability seminar, Feb, 2023, UC Davis.
• Strong freezing of the binary perceptron model
  UC Berkeley probability seminar, Nov, 2022, UC Berkeley.
• Strong freezing of the binary perceptron model
  UCI Combinatorics and Probability seminar, Oct, 2022, UC Irvine.
• Strong freezing of the binary perceptron model
  Stanford University probability seminar, Sep, 2022, Stanford University.
• On the Binary Perceptron
  NYU student probability seminar, May, 2022, online.
• On the Binary Perceptron
  HKU numerical analysis seminar, May, 2022, online.
• On the Binary Perceptron
  Penn local probability seminar, Apr, 2022, University of Pennsylvania.
• On the Binary Perceptron
  JMM 2022, AAAS Special Session on Stochastic Processes on Networks, Apr, 2022, online.
• On the Binary Perceptron
  UIC Probability and Combinatorics seminar, Mar, 2022, online.
• Mean Field Behavior during the Big Bang Regime for Coalescing Random Walks
  PACM colloquium, Feb, 2022, Princeton University.
• Proof of the Contiguity Conjecture and Lognormal Limit for the Symmetric Perceptron
  FOCS, Feb, 2022, online.
• On the Binary Perceptron
  LU-NU-UMN Joint Probability Seminar, Feb, 2022, online.
• On the Binary Perceptron
  Stanford Statistics Seminar, Feb, 2022, online.
• On the Binary Perceptron
  PACM graduate student seminar, Jan, 2022, Princeton Univeristy.
• On the Binary Perceptron
  Harvard Probabilitas Seminar, Dec, 2021, online.
• Binary perceptron: efficient algorithms can find solutions in a rare well-connected cluster
  Northeast Probability Seminar, Nov, 2021, online.
• On the Binary Perceptron
  Mathematical and Scientific Foundations of Deep Learning Annual Meeting, Poster Presentation, Oct, 2021, Simons Foundation in New York.
• Proof of the Contiguity Conjecture and Lognormal Limit for the Symmetric Perceptron
  Banff Workshop, Random Graphs and Statistical Inference, Aug, 2021, online.
• Proof of the Contiguity Conjecture and Lognormal Limit for the Symmetric Perceptron
  Columbia-Princeton probability day, May, 2021, online.
• Proof of the Contiguity Conjecture and Lognormal Limit for the Symmetric Perceptron
  PACM graduate student seminar, Apr, 2021, online.
• Proof of the Contiguity Conjecture and Lognormal Limit for the Symmetric Perceptron
  University of Basel, Seminar in Probability Theory and Statistics, Apr, 2021, online.
• Proof of the Contiguity Conjecture and Lognormal Limit for the Symmetric Perceptron
  MoDL monthly meeting, Apr, 2021, online.
• Learning Sparse Graphons and Generalized Kesten-Stigum Threshold
  PACM graduate student seminar, Feb, 2021, online.
• Learning Sparse Graphons and Generalized Kesten-Stigum Threshold
  Northeast Probability Seminar, Nov, 2020, online.
• S^1 synchronization on grids
  PACM graduate student seminar, Nov, 2019, Princeton Univeristy.
• S^1 synchronization on grids
  Graduate student probability seminar, Oct, 2019, Duke University.
• S^1 synchronization on grids
  International Workshop on Inference on Graphical Models, Oct, 2019, Columbia University.

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Teaching

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


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

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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: 2023/05. Template adapted from Danqi Chen's.
中文版