Stanford University

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.

- 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, UCI. - 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.

- STATS116 Theory of Probability, Fall 2022,
*Instructor*. - STATS218 Introduction to Stochastic Processes II, Spring 2023,
*Instructor*. - MAT100 Calculus Foundations, Fall 2020,
*Preceptor*. - MAT201 Multivariable Calculus, Fall 2019,
*Assistant Instructor*. - MAT202 Linear Algebra with Applications, Spring 2019,
*Assistant Instructor*.

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

Last update: 2023/01. Template adapted from Danqi Chen's.

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