Teaching
University of Toronto Courses:
current:
ECO2425, Causal Machine Learning (MA/PhD)
ECO225, Big Data Tools for Economists
ECO200, Microeconomic Theory
Past:
ECO250Y0, Big-Data Tools and Applied Machine Learning for Economists, at the University of Oxford as part of U of T's summer abroad program.
Awards:
University of Illinois Courses:
ECON 490: Applied Machine Learning in Economics (Stand-Alone Instructor), Spring and Fall 2019
Click for syllabus
Award: Robert E. Demerest Memorial Teaching Award, Spring 2019, $2500
Ranked Outstanding in the University Wide List of Teachers Ranked as Excellent
Instructor’s Overall Teaching Effectiveness: 4.9 and 4.8 (out of 5)
Overall Quality of the Course: 5 and 4.9 (out of 5)
Certificates:
Head Teaching Assistant:
ECON 302: Intermediate Microeconomics
Ranked as Outstanding for 4 Semesters (Distinction for University-wide Top 10% rated TAs), Fall 2016- 2018
Teaching Assistant:
ECON 102: Microeconomics Principles
Ranked as Excellent (Distinction for University-wide Top 10% rated TAs), Fall 2016
Teaching Assistant:
ECON 302: Microeconomics Principles
Ranked as Outstanding for 2 Semesters (Distinction for University-wide Top 10% rated TAs), Fall 2015- Spring 2016