Work & research

Experience

1. Nov 2025 – Now

   Founding Applied Researcher

   General Intelligence Company of New York (opens in a new tab)

   Leading applied research on agent memory, observability, and evaluation.

2. May – Nov 2025

   Principal Data Scientist

   Capital One

   Autonomous evaluation methods for AI agents in production.

3. 2023 – 2024

   Senior Deep Learning Engineer

   Renota

   Deep learning for an education startup, including automated K–12 math grading.

Research

I study how agents remember, coordinate, and stay reliable over long stretches of work.

At Northwestern, I used multimodal AI to read millions of a funding agency’s internal documents and reconstruct networks from the Human Genome Project.

Selected papers

• A digital archive reveals how a funding agency cooperated with academics to support a nascent field of science
• The entities enabling scientific fraud at scale are large, resilient, and growing rapidly
• RAFFLES: Reasoning-based Attribution of Faults for LLM Systems

• All publications (opens in a new tab)
• Born Physical, Studied Digitally (opens in a new tab)
• Genome research talk (opens in a new tab)