Graduate Student

PhD student, started fall 2022.

Coursework:

  • Industrial Organization sequence (2023-2024)
  • Labor Economics sequence (2023-2024)
  • Public Economics I (2023) and Public Economics III (2024)
  • Contracts, Information, and Incentives with Ilya Segal
  • Micro, Macro, and Econometrics core sequences (2022-2023)

Predoctoral Research Fellow

Coursework:

  • Machine Learning and Causal Inference–Spring 2022 with Susan Athey and Stefan Wager
  • Mining Massive Datasets–Winter 2022 with Jure Leskovic and Mina Ghashami
  • Economics of Higher Education–Fall 2021 with Eric Bettinger
  • Behavioral and Experimental Economics III–Spring 2021 with Doug Bernheim, Muriel Niederle, and Al Roth
  • Behavioral and Experimental Economics II–Winter 2021 with Muriel Niederle
  • Behavioral and Experimental Economics I–Fall 2020 with Doug Bernheim and Al Roth
  • Simplicity and Complexity in Economic Theory–Spring 2020 with Mohammad Akbarpour and Paul Milgrom
  • Market Failures and Public Policy–Winter 2020 with Liran Einav and Heidi Williams
  • Matching and Market Design–Fall 2019 with Muriel Niederle, Michael Ostrovsky, and Al Roth

A. B., Economics and Mathematics, Minor in Computer Science

Awards

  • 1897 Noyes Political Economy Prize–Awarded to the best student in political economy each year
  • High Honors in Economics–Awarded to students achieving distinction in economics coursework who complete a senior thesis
  • Magna cum Laude–Awarded to students whose overall GPA is in the top 8% of graduating class
  • Phi Beta Kappa–Membership in an academic honor society awarded to top ten percent of students in class
  • Bowdoin Book Award–Awarded to students achieving straight ‘A’s for an entire academic year

Economics Coursework

  • Honors Thesis–Fall 2018-Spring 2019, supervised by John Fitzgerald
  • Behavioral Economics–Spring 2019 with Dan Stone
  • Game Theory–Fall 2018 with Dan Stone
  • Econometrics–Fall 2017 with Stephen Morris
  • Evaluation of Public Programs–Spring 2017 with John Fitzgerald

Mathematics Coursework

  • Real Analysis–Fall 2018 with Bill Barker
  • Numerical Methods–Fall 2018 with Adam Levy
  • Advanced Topics in Probability and Statistics–Fall 2017 with Jack O’Brien

Computer Science Coursework

  • Algorithms–Spring 2019 with Stephen Majercik
  • Computer Systems–Fall 2017 with Sean Barker
  • Data Structures–Spring 2017 with Stephen Majercik

 

Visiting Student

Coursework

  • Economics of Inequality–Spring 2018 with Ana Nuevo-Chiquero
  • Linear Programming, Modelling, and Solution–Spring 2018 with Julian Hall
  • Theory of Computation–Spring 2018 with Julian Bradfield