Teaching

University of Toronto

Urban Economics (2021-2024)

• Syllabus

Big-Data and Applied Machine Learning in Economics (2023)

• University of Toronto summer program hosted by the University of Oxford

Big-Data Tools for Economists (2021)

• Topics: Introduction to Python, Git, Data Visualization and Mapping, Satellite Data, Web-scraping, Textual Analysis, Machine Learning Syllabus

Introduction to Microeconomics (Fall 2020)

• More than 1800 students & 30 Teaching Assistants

University of Illinois

Applied Machine Learning in Economics (Spring 2019 - Fall 2020)

• Topics: Statistical Learning with R, Shrinkage Methods, Random Forest, Bagging, Boosting, SVM, Neural Networks, Causal Inference with ML. Syllabus
• Outstanding rating (top 5% intructors) in the “List of Teachers Ranked as Excellent by their Students for 3 consecutive semesters”

Teaching Assistant

• Intoduction to Microeconomics
  • Awarded in the “List of Teachers Ranked as Excellent by their Students” for 5 consecutive semesters
• Intermediate Microeconomics

Sharif University of Technology

Teaching Assistant (Graduate-Level)

• Econometrics I
• Game Theory
• Microeconomics II