I love sharing a passion for statistics through teaching. I enjoy explaining statistics both intuitively and mathematically.

Teaching (Instructor)

• “Intro to Statistical Inference” (36-226)
  • Statistics and Data Science Department, Carnegie Mellon University
  • Summer 2023

Teaching Assistantships

• “Time Series” (36-471/671)
  • Statistics and Data Science Department, Carnegie Mellon University
  • Spring 2024 (Instructor: Mikael Kuusela)
• “Advanced Methods for Data Analysis” (36-402/608)
  • Statistics and Data Science Department, Carnegie Mellon University
  • Spring 2023 (Instructor: Ann Lee)
• “Intro to Probability” (36-225)
  • Statistics and Data Science Department, Carnegie Mellon University
  • Fall 2023 (Instructor: Joel Greenhouse)
• “Probability Theory and Random Processes” (36-219)
  • Statistics and Data Science Department, Carnegie Mellon University
  • Spring 2022 (Instructor: Jing Lei)
• “Modern Regression” (36-401/607)
  • Statistics and Data Science Department, Carnegie Mellon University
  • Fall 2021 (Instructor: Larry Wasserman)
• “Stochastic Simulation” (MATH-611)
  • Department of Mathematics and Statistics, Georgetown University
  • Fall 2019 (Instructor: Sivan Leviyang)
• “Numerical Methods” (MATH-504)
  • Department of Mathematics and Statistics, Georgetown University
  • Spring 2019 (Instructor: Sivan Leviyang)
• “Mathematical Statistics” (MATH-503)
  • Department of Mathematics and Statistics, Georgetown University
  • Spring 2018 (Instructor: Ali Arab)
• “Probability Theory” (MATH-501)
  • Department of Mathematics and Statistics, Georgetown University
  • Fall 2017 (Instructor: David Caraballo)