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Teaching

GSI (Graduate Student Instructor) at UC Berkeley

  • Spring 2020: STAT 248 Analysis of Time Series (Instructor: Adityanand Guntuboyina)
  • Fall 2019: STAT 153 Introduction to Time Series (Instructor: Jared Fisher)
  • Fall 2018: STAT 153 Introduction to Time Series (Instructor: Merle Behr)
  • Spring 2018: STAT 153 Introduction to Time Series (as an instructor)
  • Fall 2017: STAT 154 Modern Statistical Prediction and Machine Learning (Instructor: Gaston Sanchez)
  • Spring 2017: STAT 134 Concepts of Probability (Instructor: Ani Adhikari)
  • Fall 2016: STAT 153 Introduction to Time Series (Instructor: David R. Brillinger)
  • Spring 2016: STAT 134 Concepts of Probability (Instructor: Ani Adhikari)
  • Spring 2016: STAT 222 Statistics MA Capstone Project (Instructor: Jarrod Millman)
  • Fall 2015: STAT 210A Theoretical Statistics (Grader) (Instructor: Michael I. Jordan)
  • Fall 2015: STAT 135 Concepts of Statistics (Instructor: Shobhana Murali Stoyanov)
  • Summer 2015: STAT 135 Concepts of Statistics (Instructor: Hank Ibser)
    • covers parameter estimation, parametric and nonparametric methods for comparing two samples, linear regression
  • Fall 2014: STAT 133 Concepts in Computing with Data (Instructor: Ingileif B. Hallgrimsdottir)
    • covers basics of R programming: manipulation of matrices and data frames, visualization, etc.

TA (Teaching Assistant) at Tsinghua-Berkeley Shenzhen Institute (TBSI)

  • Winter 2015 (3-week course): Introduction to Financial Engineering (Instructor: Xin Guo)
    • principle of no-arbitrage, binomial pricing model, Black-Scholes model