Instructor, Boston College

  • Big Data Econometrics - Master's level (Summer 2022)

  • Econometrics - Master's level (Summer 2022)

  • Principles of Economics (Summer 2022)

  • Machine Learning for Economics (Spring 2022)

  • Forecasting Techniques - Master's level (Spring 2022)

  • Microeconomic Theory (Fall 2021)

  • Econometrics Lab, Head Instructor (Fall 2019, Fall 2020, Spring 2021)

Teaching Assistant, Harvard University

  • Microeconomic Theory - Master's level (Fall 2021)

  • Managerial Economics - Master's level (Summer 2020, Summer 2021, Spring 2022, Summer 2022)

Teaching Assistant, Boston College

  • Principles of Economics (Spring 2020)

  • Applied Macroeconomic Theory - Master's level (Fall 2019)

  • Principles of Macroeconomics (Spring 2019)

  • Econometric Methods (Fall 2018)

  • Econometric Methods - Ph.D. level (Spring 2018)

  • Statistics - Ph.D. level (Fall 2017)

  • Game Theory (Spring 2017)

  • International Economic Relations (Fall 2016, Spring 2017)

  • Microeconomics Theory (Fall 2016)

Graduate Tutor, Boston College, Woods College

  • MS in Applied Economics program (Fall 2020, Spring 2021, Fall 2021, Spring 2022)

Teaching Assistant, Bogazici University

  • Macroeconomics (Spring 2016)

  • Mathematical Methods for Economics - Master's level (Fall 2015)

  • Microeconomics (Summer 2015)

  • Computing for Economics and Management (Spring 2015)

  • Mathematics for Economist (Fall 2014)

Teaching Award