Experience as Instructor :
Stats302, Qualifying Exam Workshop (Probability). Summer 2022. Stanford University.
Stats302, Qualifying Exam Workshop (Probability). Summer 2021. Stanford University.
Stats203V, Introduction to Regression Models and Analysis of Variance. Summer 2020. Stanford University.
Experience as Teaching Assistant :
Stats310A / Math230A, Theory of Probability. Autumn 2022. Stanford University.
Stats271 / Stats371, Applied Bayesian Statistics. Spring 2020. Stanford University.
Stats217, Introduction to Stochastic Processes. Winter 2020. Stanford University.
Stats216, Introduction to Statistical Learning. Summer 2019, Stanford University.
Stats214 / CS229M, Machine Learning Theory. Autumn 2021. Stanford University.
Stats203, Introduction to Regression Models and Analysis of Variance. Winter 2023, Winter 2021, Spring 2019. Stanford University.
Stats202, Data Mining and Analysis. Autumn 2018. Stanford University.
Stats200, Introduction to Statistical Inference. Autumn 2019, Autumn 2020. Stanford University.
Stats191, Introduction to Applied Statistics. Winter 2022. Stanford University.
Lecture Notes / Hand-outs :
Stats302, Qualifying Exams Workshop (Probability). Review materials.