Teaching

Instructor

A list of courses I have served as the primary instructor for, in reverse chronological order.

EPFL

Graduate Courses

MATH 524: Nonparametric estimation and inference, Spring 2025.
MATH 413: Statistics for data science, Spring 2025 (co-taught with Myrto Limnios).

Teaching Assistant

A list of courses I have served as an Assistant in Instruction for, in reverse chronological order.

Princeton University

Graduate Courses

ORF 504: Financial Econometrics, taught by Jason Klusowski, Spring 2023.
ORF 524: Statistical Theory and Methods, taught by Matias Cattaneo, Fall 2022.
ORF 524: Statistical Theory and Methods, taught by Matias Cattaneo, Fall 2021.

Undergraduate Courses

ORF 499: Senior Thesis, taught by Daniel Rigobon, Spring 2024.
SML 312: Research Projects in Data Science, taught by Jonathan Hanke, Fall 2023.
ORF 498: Senior Independent Research Foundations, taught by Daniel Rigobon, Fall 2023.
ORF 245: Fundamentals of Statistics, taught by Matias Cattaneo, Spring 2021.
ORF 245: Fundamentals of Statistics, taught by Jianqing Fan, Fall 2020.

Brown University

Graduate Courses

MPA 2065: Introduction to Data Science and Programming for Masters of Public Affairs, taught by Srikar Prasad, Fall 2018.

Undergraduate Courses

APMA 1720: Monte Carlo with Applications to Finance, taught by Debankur Mukherjee, Spring 2019.
APMA 1650: Statistical Inference I, taught by Benjamin Kunsberg, Fall 2017.