Index / 02

Research

Problems before
they behave.

Research on model behavior, incentives, safety evaluation, structured transparency, and AI governance.

  1. 01

    Accepted at AIES 2026

    AI Revealed Preferences

    A behavioral framework for measuring AI systems' revealed preferences through choices rather than self-report.

    Read project
    2026
    • model incentives
    • evaluation
    • deception
  2. 02

    Ongoing / MARS V

    Aligning AIs Via External Incentives

    Extending revealed-preference methods to isolate how external incentives change model choices.

    Read project
    2026
    • alignment
    • incentives
    • behavioral evals
  3. 03

    TALOS Fellowship / ongoing

    Structured transparency and AI in decision making

    Research on making safety evaluations easier to inspect and on the role of AI in social decision-making processes.

    Read project
    2026
    • structured transparency
    • safety evaluations
    • decision making
  4. 04

    Forecasting project

    AI Treaty Momentum Index

    An index for tracking political momentum toward international AI coordination.

    Read project
    2025
    • forecasting
    • governance
  5. 05

    Published

    Community detection in graphs of interacting objects

    A combined graph method developed from my undergraduate thesis and applied later to urban mobility analysis.

    Read project
    2017
    • graph methods
    • applied mathematics
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