I'm an undergraduate at Carnegie Mellon's School of Computer Science and
a research assistant at the Robotics Institute's AUTON Lab. I work on
vision-language models, and on making those systems easier to correct and
steer for people who don't code (in our case, medics).
I started building AI in high school and have since worked on research at
Georgia Tech, Harvard, and UC Berkeley. This past summer I was a founding
engineer in Pear VC's inaugural Prime cohort, one of twenty selected from
more than 500 applicants, building the tools their investors use to find
and evaluate companies.
Research, writing, and policy have always felt like the same instinct to
me. Work out how something actually functions, then make it legible to
whoever has to live with it.
Before CMU I ran a 70-person newsroom, spent a summer in the California
State Senate working on accessibility and inclusive-housing policy, and
spent a lot of evenings in a theatre. All of it still shapes what I
want to build. The projects I'm proudest of started from a person rather
than a paper: smart glasses that describe the world to blind users, a
translator that lets two people talk across a language barrier in real
time.
These days I split my time between the lab, early-stage startups, and the
entrepreneurship community at CMU. If you're working on something in AI,
accessibility, or the policy side of either, or you're building a company
and want a thought partner, I'd love to hear from you.
Areas I'm focused on:
- Vision-Language Models
- Probabilistic Modeling
- Agentic AI
- 3D Machine Learning
- Responsible ML
- AI Accessibility
