About me

Hello! My name is Isaac and I am a student in computer science focused on mechanism design, artificial intelligence, and computational social choice. I am originally from Milton, Massachusetts and attended Harvard University as an undergraduate where I was advised by Ariel Procaccia and Jamie Tucker-Foltz. I am currently a research student at the University of Oxford. I enjoy looking at problems broadly in the field of theoretical computer science and its societal implications including mechanism design, data privacy (specifically differential privacy), and algorithmic fairness. I am always looking for collaborators and recommendations!

What I'm (currently) doing

  • design icon

    Participatory Budgeting

    Problems in computational social choice centering around methods for fairly dividing municipal budgets across projects.

  • Web development icon

    Differential Privacy

    Problems in differential privacy and how it relates to artificial intelligence, data valuation, and mechanism design.

  • mobile app icon

    Algorithmic Fairness

    Interested broadly in how we can make algorithms and decision-making processes more fair. Recently interested in multi-calibration.

  • camera icon

    Fair Division

    Interested in problems around fair division with limitations including information availability, hard constraints for item availability, and complexity. Recently interested in the problem of fairly assigning students to schools.

Manuscripts

  • Vote

    Obvious Independence of Clones

    Exploring the concept of obvious strategy-proofness in the domain of voting rules.

  • Emily evans

    Augmenting Fairness With Welfare: A Framework for Algorithmic Justice

    Small steps towards incorporating mechanism design concepts into algorithmic fairness.

Resume

For full version click here

Education

  1. University of Oxford

    2023 —

    PhD in computer science funded by the Rhodes fellowship and advised by Professor Edith Elkind.

  2. Harvard University

    2018 — 2023

    Bachelors of Arts in Computer Science. Phi Beta Kappa. Summa Cum Laude.

  3. Phillips Exeter Academy

    2014 — 2018

Experience

  1. Jane Street

    Summer 2023

    Quantitative Trading Intern.

  2. Meta

    Summer 2022

    Data Science intern on the Reality Labs team.

  3. Meta

    Summer 2021

    Data Science intern on the Facebook App Ecosystems team.

Areas of Expertise

  • Computational Social Choice and Mechanism Design
    90%
  • Algorithmic Fairness and Differential Privacy
    90%
  • Artificial Intelligence and Machine Learning
    80%
  • Algorithms and Software Design
    70%

Publications

    Contact

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