Aaron Chan
Research Scientist at Meta AI • aarzchan 
gmail 
com
I am a research scientist on the AI for Modern Recommendation Systems (MRS) Team at Meta AI.
My research is at the intersection of natural language processing and machine learning. In particular, I am excited about:
- model explainability: explaining language model behavior more faithfully, plausibly, and efficiently.
- explanation-based learning: operationalizing explanations to improve language model generalization and decision-making.
Previously, I was a research intern at Meta AI and an engineering intern at Google.
I earned my PhD in computer science from the University of Southern California. During my PhD, I was advised by Prof. Xiang Ren at the INK Lab. Before that, I earned my MSE in robotics from the University of Pennsylvania and my BS in electrical engineering from the University of Maryland.
Currently, I work remotely from the Washington, DC metro area, where I live with my wife. Outside of work, I enjoy basketball, skiing, hiking, reading, and board games.
News
| May 08, 2023 |
XMD was accepted to the demo track at ACL 2023! 
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| May 02, 2023 |
HUFTR was accepted to ACL 2023 as an oral presentation!
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| Mar 10, 2023 |
HUFTR was accepted to the TRAIT Workshop at CHI 2023! 
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| Mar 04, 2023 |
KNIFE was accepted to the TrustML-(un)Limited Workshop at ICLR 2023!
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| Feb 28, 2023 |
Check out our latest version of ER-Test on arXiv, updated with additional experiments and improved presentation! 
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