Teaching

I have had a very rich experience as a teaching assistant and instructor for classes, which range from introductory applied statistics for medical researchers to theoretical statistics for PhD students such as empirical process theory. I hold a certificate of distinction and excellence in teaching from the Harvard Derek Bok Center, for receiving an evaluation of 4.9/5 as a teaching fellow for the class “Statistical Inference II” taught by Profs. Andrea Rotnizky and Giovanni Parmigiani.

Instructor (Northwestern University)

  • Stat 302: Data Visualization, Fall 2023, Winter 2024
  • Stat 461: Advanced Statistical Theory I and II, Fall 2023, Winter 2024

Instructor (Carnegie Mellon University)

  • Stat 709: Advanced Statistical Theory I, Spring 2023
  • Stat 747/748: Advanced Statistical Inference I & II, Fall 2022
  • Stat 755/756: Multivariate Analysis I & II, Spring 2022
  • Stat 709: Advanced Statistical Theory I, Spring 2021
  • Stat 226:Introduction to Statistical Inference, Spring 2020
  • Stat 710: Advanced Statistical Theory II (co-taught with Ale Rinaldo), Fall 2019
  • Stat 315: Statistical Graphics and Visualization, Fall 2017, 2018, 2020, Spring 2018

Instructor (Harvard University)

Linear Algebra and Real Analysis, Math camp for incoming PhD Students, August 2014
Key Concepts: Linear Operators, Hilbert Spaces, Spectral Theorem, Fundamental Theorems of Calculus, Convergent Sequences & Series [anonymous evaluations]

Probability Theory, Math camp for incoming PhD Students, August 2013
Key Concepts: Elementary Set & Measure Theory, Combinatorics, Discrete & Continuous Random Variables, CLT, LLN, Concentration Inequalities

Problem Solving in Advanced Statistics, PhD level class, Fall 2012; Spring 2013
Key Concepts: Coach for the theory part of the Qualifying Exam

Teaching Assistant (Harvard University)

Statistical Inference II, PhD level class, Spring 2015
Professors: Andrea Rotnizky & Giovanni Parmigiani
Key Concepts: Semi-parametric & Decision Theory, Influence Functions, Minimax & Bayesian Estimation and Hypothesis Testing

Statistical Inference II, PhD level class, Spring 2014
Professor: Tianxi Cai
Key Concepts: Asymptotics of M-Estimation, Kernel Smoothing, U-Statistics, Empirical Processes [empirical process labs] (based on this book)

Analysis of Multivariate and Longitudinal Data, PhD level class, Spring 2013
Professor: Xihong Lin
Key Concepts: Multivariate Analysis, Generalized Linear Models, Linear & Generalized Linear Mixed Models, Generalized Estimating Equations

Analysis of Rates and Proportions, Master of Public Health level class, Spring 2011
Professor: Robert Glynn
Key Concepts: One and two sample T-tests, ANOVA, MANOVA

Teaching Assistant (Sofia University)

Theory of Probability (for Math/Stat majors), Probability and Statistics (for CS majors), Fall, Spring 2009; 2010
Professors: Leda Minkova, Maroussia Bojkova
Led the exercise section of the Theory of Probability (for Math/Stat majors), Probability and Statistics (for CS majors) courses. Taught in class, proposed problems for examinations and graded the students.