AARON CHAN

Research Scientist, Meta AI

aarzchan 🙂 gmail 🙃 com

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Bio

I am a research scientist at Meta AI. Broadly, my research interests are at the intersection of AI, ML, and NLP. In particular, I am excited about generative AI and LLMs, especially in the context of AI safety and AI alignment.

Currently, I am on the Meta AI Safety Team within Meta's GenAI org. As a member of this team, I work on developing LLM post-training algorithms to make the Meta AI assistant more helpful, honest, and harmless. Our work directly impacts over 600M global users across Meta.AI, Facebook, Instagram, Messenger, and WhatsApp.

Prior to GenAI, I was part of the Modern Recommendation Systems (MRS) org at Meta. In MRS, I worked on building ML models to improve Reels ranking on Facebook and Instagram, with a focus on long-term user value optimization. Previously, I was a research intern on the AI Integrity Team at Meta, where I worked on LLM explainability. Before that, I was an engineering intern on the Android Camera Team at Google, where I worked on image saliency detection.

I earned my PhD in computer science from the University of Southern California, advised by Prof. Xiang Ren at INK Lab. During my PhD, I conducted fundamental research in ML and NLP, developing algorithms for model explainability and explanation-based learning. I earned my MSE in robotics from the University of Pennsylvania and my BS in electrical engineering from the University of Maryland.

Outside of work, I enjoy tennis, basketball, pickleball, skiing, and spending time with my family.

Publications

* = equal contribution
Plain Academic