I’m a researcher and engineer focused on building AI that’s aligned with human values. I was the lead author on a paper studying chain-of-thought monitoring as part of LASR Labs.
I am currently working on research on LLM evaluations as part of the ML Alignment & Theory Scholars (MATS) program in London. I am also a Fellow in the Transportation and Land Use program of the Marron Institute at New York University, where I apply machine learning to study urban governance issues related to transportation, government responsiveness, policing and use of public space.
Read my latest article where I highlight a chronic issue in New York City and how it’s emblematic of the challenges of crafting effective policies when underlying data is tainted. This piece is largely based on this research paper where I used machine learning to study how police respond to illegal parking complaints. It paints dire picture where the majority of cases are ignored and offers concrete solutions to make streets safer.
This built on earlier work I did using computer vision and official data to understand the chaotic nature of New York City streets.
You can e-mail me if you’d like to chat about new projects, urbanism, music or ways to make the world a better place for all humans.
I had a great experience attending a programming residency at the Recurse Center, where I worked on projects related to technical AI safety. While I was there I built a lot of things, including:
I was tired of checking my phone for subway departures, so I built an LED arrival board for my living room.
I spent a night at NYC’s Museum of Modern Art watching a film that made me think a lot about time.