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I am available to work with undergraduate or graduate students on reading courses and research projects relating to random matrix theory or general probability. Reach out to me by email if you are interested or have any questions.
Previous students mentored in math-related projects include:
Kenji Gunawan (2025-present), UCSD, Undergraduate research (Infinite-width limits of nonlinear and linear neural networks)
Audrey Tanaka (2017-present), Middle to high school, Competition math
Yuze Xu (2024), University of Michigan, Undergrad reading (Random matrix methods for machine learning)
Anupama Hazarika (2023-2024), University of Arizona (Actuary, Baltimore Life Insurance), Undergraduate research (Statistical modeling using random matrices -- earthquakes)
Yunke Wan (2023-2024), University of Arizona (completed Masters of Engineering - Statistics at Rice), Undergrad/postgrad research (Statistical modeling using random matrices -- safety rest areas)
Jai Cai (2022-2024), University of Arizona (current PhD in Statistics candidate at UIC), Undergrad/postgrad research (Statistical modeling using random matrices -- safety rest areas)
Guo Lyu (2021), UC Irvine (completed Masters of Engineering at USC), Undergrad research (Data science and survey analysis)
Wenyu Wu (2021), UC Irvine (completed Masters of Engineering at UPenn), Undergrad research (Data science and survey analysis)
Danjun Xu (2020), UC Irvine (completed Masters of Financial Math at NYU), Undergrad reading (Random matrix theory and universality)
Zongjie Yin (2020), UC Irvine (completed Masters of Applied Statistics at Cornell), Undergrad reading (Random matrix theory and universality)
Information about more general mentoring initiatives I have led preparing undergrads and grad students for success in academia or industry can be found in Service & Outreach.
Current teaching for Fall 2025
Current teaching for Fall 2025
Instructor of Record at the University of California, San Diego
Math 180A: Introduction to Probability
Course information and materials are available through canvas.
Previous teaching
Previous teaching
Instructor of Record at the University of California, San Diego
Math 11: Calculus-based Introductory Probability and Statistics (Spring 2025)
Math 180A: Introduction to Probability (Fall 2024, Winter 2025)
NB: I received the Teaching and Service Award for postdocs from the UA math department in April 2024
Instructor of Record at the University of Arizona
Math 125: Calculus I (Fall 2021)
Data/Math 195M: Major Colloquium (Fall 2023)
Math 313: Introduction to Linear Algebra (Fall 2022, Summer 2023, Fall 2023, Summer 2024)
Data/Math 363: Introduction to Statistical Methods (Summer 2022)
Math 466: Theory of Statistics (Spring 2022)
Math 491: Preceptorship (Undergraduate Teaching Assistantship Learning Seminar) (Fall 2021-Spring 2023)
Math 492: Directed Research (Statistical modeling using random matrices: rest areas) (Fall 2022-Spring 2023)
Data 498H: Undergrad Honors Thesis (Statistical modeling using random matrices: earthquakes) (Fall 2023-Spring 2024)
COMP Fellow/Instructor at the University of California, Irvine
Community, Outreach, and Mentoring Program seminar (Fall 2020-Spring 2021)
Math 199: Independent Undergraduate Research (Data Science) (Spring 2021)
Math 199: Directed Reading Program (Random Matrix Theory) (Fall 2020)
NB: I received the Connelly Award for excellence in teaching and research from the UCI math department in June 2020
Teaching Assistant at the University of California, Irvine
Math 2A: (Differential) Calculus (Summer Session II 2018, Spring 2017, Fall 2015)
Math 2B: (Integral) Calculus (Winter 2019)
Math 3A: Introduction to Linear Algebra (Summer Session II 2017)
Math 4: Math for Economists (Fall 2017-Spring 2018, Winter 2017, Winter 2016)
Math 5B: Calculus for Life Sciences (Summer Sessions I-II 2020)
Math 105A: Numerical Analysis (Summer Session I 2016)
Math 121A: Linear Algebra (Spring 2016)
Math 130A: Probability and Stochastic Processes (Fall 2016)
VIGRE Course Assistant at the University of Chicago
Math 131: Elementary Functions and Calculus I (Fall 2005)
Math 132: Elementary Functions and Calculus II (Winter 2006)
Math 133: Elementary Functions and Calculus III (Spring 2006)
Sample teaching materials
Sample teaching materials
A selection of course materials and review worksheets I prepared for my students:
As an Instructor at the University of Arizona
Math 466: Theory of Statistics
Kahoot review quizzes for Chapters 7,8,9,10 from Mathematical Statistics with Applications, by Wackerly, Mendenhall, and Scheaer.
Midterm 1 Review | Solutions
Midterm 2 Review | Solutions
Final Review | Solutions
As a TA/Instructor at UC Irvine
Math 2A: (Differential) Calculus
Midterm 1 Review | Solutions
Midterm 2 Review | Solutions
Final Review | SolutionsMath 2B: (Integral) Calculus
Midterm 1 Review | Solutions
Midterm 2 Review | SolutionsMath 4: Math for Economists
Midterm Review | SolutionsMath 105A: Numerical Analysis
Midterm Review | Solutions
Final Review | SolutionsMath 121A: Linear Algebra
Midterm Review | Solutions
Final Review | SolutionsMath 130A: Probability and Stochastic Processes
Midterm 1 Review | Solutions
Midterm 2 Review | Solutions
Final Review | SolutionsMath 199: Directed Reading Program (Random Matrix Theory)
Supplementary document
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