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.
|Mar 10, 2023||HUFTR was accepted to the TRAIT Workshop at CHI 2023!|
|Mar 04, 2023||KNIFE was accepted to the TrustML-(un)Limited Workshop at ICLR 2023!|
|Feb 28, 2023||Check out our latest version of ER-Test on arXiv, updated with additional experiments and improved presentation!|
|Feb 27, 2023||Check out our latest version of UNIREX on arXiv, updated with additional experiments and improved presentation!|
|Feb 14, 2023||Our code for UNIREX has been officially released on the Meta Research GitHub!|