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)