Yo! I’m Nick.
Yo! I’m Nick.

Yo! I’m Nick.

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[1/22/25] Our paper “Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations” has been accepted to ICLR’25! Here’s a summary.

I’m currently a researcher working to advance our understanding of AI models. I enjoy building things, writing, and exploring this vast world. I’m broadly interested in decoding how large language models learn and research multimodal interpretability in the Darrell Group. I occasionally update a list of questions I’m exploring and thinking about.

Professionally, I was a early engineer at Brisk, where I helped build and scale an AI co-pilot for teachers to 100K users. I’ve also spent time working at Watershed on carbon data ingestion, Roblox on data infrastructure, and Thayermahan on autonomous maritime surveillance.

Previously, I studied CS and philosophy at UC Berkeley. Within the Berkeley ecosystem, I have:

  • conducted NLP research to quantitatively analyze common challenges faced by product managers
  • worked on auto-scaling and cloud support for Hydro, an open-source library to write and deploy distributed applications easily
  • headed a client project with Recidiviz to improve sentencing outcome transparency for Codebase
  • sourced sponsorships for Cal Hacks, the world’s largest collegiate hackathon

In my free time, I’m scootering and biking through cities, chilling in bookstores, and performing improv.

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Reach me on twitter or email me at nickj [at] berkeley [dot] edu
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