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title
Education

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