CV

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Summary

• Citizenship: Canadian
• Research Interests: Public, Behavioural, Applied Econometrics, and Economics of Education
• Teaching Interests: Public, Education, Econometrics, and Programming for Economist

Education

• PhD in Economics, University of Toronto, 2022
• MA in Economics, University of Toronto, 2015
• BSc in Math and Economics, University of Toronto, Mississauga, 2014

Research

• Identifying the STEM Learning Technology: Evidence from Online Learning (2023)
• Grading Incentives and Student Effort in STEM: Evidence from Online Learning (2023)
• Provision of Online Public Goods: Evidence From a Peer Discussion Board (2023)
• The Impact of Information Disclosure on Student Course Selection (2022), with Robert McMillan and Linda Wang
• Understanding Gender Gaps in STEM (2020), with Robert McMillan and Linda Wang

Awards and Grants

• Excellence in Teaching by an Economics Teaching Assistant, 2020
• Ontario Graduate Scholarship ($15000 x 2), 2019 - 2020
• University of Toronto Doctoral Fellowship ($12000 x 5), 2015 - 2019

Work experience

Course Instructor

• Fall 2023: Microeconomics (Masters)
  • Student evaluation: mean rating = 4.3/5 and median rating = 4/5
• Winter 2023: Applied Econometrics and Causal Inference (Masters)
  • Student evaluation: mean rating = 4.1/5 and median rating = 5/5
• Winter 2018: Human Capital and Education in the Economy (Undergraduate)
  • Student evaluation: mean rating = 4.6/5 and median rating = 5/5

Teaching Assistant

• Fall 2013 - Summer 2014: Mathematics Teaching Assistant
  • Calculus I (x4)
  • Calculus II
  • Linear Algebra
  • Introduction to Mathematical Proofs
• Fall 2014 - Present: Economics Teaching Assistant
  • Quantitative Methods of Economics (x8)
  • Applied Econometrics (x3)
  • Empirical Methods of Microeconomics
  • Matlab, R, and Stata Programming for Economists (x3)
  • UTM Graduate Help Desk (x6)

Research Assistant

• Summer 2014 - Present, Project: Incentive Design in Education
  • Structural estimation in Matlab.
  • Supervisor: Professor Robert McMillan
• Summer 2017 - 2018, Project: Affirmitive Action and Student Effort
  • Empirical analysis in Stata.
  • Supervisor: Professor Natalie Bau
• Winter 2018 - Present, Project: New Method for Estimating Teacher Value Added
  • Maximum Likelihood Estimation in R.
  • Supervisor: Professor Jiaying Gu

Computer Skills

• Stata (Empirical analysis)
  • Proficient
• Matlab (Structural estimation)
  • Proficient
• Python (Webscraping and machine learning)
  • Intermediate
• Rstudio (Simulation)
  • Intermediate
• HTML/CSS/Java Script (Web development)
  • Beginner

Academic Service

• Graduate Student Mentor, University of Toronto, 2017-2020
• Departmental Chair Search Commitee Member, Mississauga, 2020
• Board Games Event Coordinator, Graduate Economics Union, 2016 - 2019
• First Year University Transition Mentor, Mississauga, 2015

Languages

• English (Fluent), Urdu (Fluent), and French (A2 - advanced beginner)