Courses Taught

• MSDS 610: Deep Learning @ Bryant University (M.Sc. Data Science). Fall 2024 (Top-rated university-wide for teaching effectiveness), Spring 2025.

• AA 640: Data Visualization and Text Mining @ Bryant University (M.Sc. Business Administration). Spring 2025.

• ISA 510: Probability and Statistics for Data Analytics @ Bryant University (M.Sc. Data Science and M.Sc. Applied Analytics). Fall 2024, Spring 2025.

• ISA 400: A Introduction to Deep Learning @ Bryant University (B.Sc. Data Science). Fall 2024 (Top-rated university-wide for teaching effectiveness). 

• DATA 0080: Data, Ethics, and Society @ Brown University. Fall 2023. Co-taught and co-designed with Prof. Linda Clark.

• Market Design and Machine Learning @ University of Zurich. This is a Continuing Education Course (1-day courses for professionals), Spring 2018 and Spring 2019. Co-taught and co-designed with Prof. Sven Seuken.

Guest Lectures

• CSCI1440: Algorithmic Game Theory @ Brown University, hosted by Prof. Amy Greenwald, Spring 2023.

• Market Design and Machine Learning @ University of Zurich, hosted by Prof. Sven Seuken, Spring 2021.

Teaching Assistant

• Economics and Computation @ University of Zurich, taught by Prof. Sven Seuken. I served as a Teaching Assistant in Fall 2014 and as the Head Teaching Assistant in Fall 2016 and Fall 2017.

Research Mentoring

• Sidharth Anand - B.Sc. Student @ Brown University (Present)

• Eric Mibuari - Ph.D. Student @ Harvard University (Present)

• Kevin Bi - B.Sc. Student @ Harvard University (2021)

• Nicolas Lepore - B.Sc. Student @ Harvard University (2021)

• Manuel Beyeler - B.Sc. Student @ University of Zurich (2019)

• Nicolas Kuechler - B.Sc. Student @ University of Zurich (2017)  

• Andreas Perschak - B.Sc. Student @ University of Zurich (2015)