Teaching

  • I was a TA/grader/tutor at Colby College for:
    • Calculus (MA121, 122)
    • Micro- and Macro Economic Principles/Theory (EC133, 134, 223, 224)
    • Game Theory (EC379)
    • Introductory Statistics (SC212, 231)
    • Computational Thinking (CS151/152)

Notes


Talks

  • Algorithmic Redistricting and Black Representation in US Elections. MIT SERC Scholars seminar, October 2021.

  • Algorithmic Redistricting and Minority Representation. MIT IDSS Workshop on Systemic Racism and Computation, May 2021.

  • Algorithms for Applied Large-Scale Differential Privacy. Written Preliminary Exam Presentation, October 2020.

  • Algorithms, Fairness, and Redistricting. Penn CIS Student Colloquium, April 2020.

  • Trade-Offs in Fair Redistricting. AIES, February 7, 2020. [sildes]

  • Equilibrium Characterization for Data Acquisition Games. IJCAI, August 8, 2019. [slides]

  • Introduction to the Metagraph of Districting Plans. Voting Rights Data Institute, June 18, 2019.

  • Graphs, Geometry, and Gerrymanders. University of Toronto Dept. of Mathematics Diet Graduate Seminar, Feb. 21, 2019. [slides].

  • Shape Analysis for Redistricting. University of Toronto Dept. of Mathematics Hyperbolic Lunch Seminar Feb. 21, 2019. [slides].