Hi, I'm Alexis! I am currently a third-year PhD student at MIT CSAIL advised by Jacob Andreas and affiliated with the Language & Intelligence lab. I am grateful to be supported by an NSF graduate research fellowship. These days, I spend most of my time thinking about how to build NLP methods that can help support education, with a particular interest in methods that can adapt to individual students (see here for some work in this direction).

Before starting at MIT, I was a predoctoral researcher at the Allen Institute for AI (AI2). I have also interned at Microsoft Research. I graduated from Harvard University in 2020 with a joint B.A. in Computer Science and Philosophy.

If you are interested in chatting about AI+education, feel free to reach out at alexisro [at] mit [dot] edu.

News

Sept 2024	Invited speaker at the Harvard CMSA Panel on Machine Learning in Science Education.
Sept 2024	Invited talk to the Google Deepmind LearnLM Team.
June 2024	New preprint on language modeling with editable external knowledge.
May 2024	Two papers accepted at ACL 2024: adaptive teaching toward misconceptions and editing scientific papers in response to reviews.
March 2024	Paper on counterfactual evaluations of LLMs to be presented at NAACL 2024.
June 2023	Started at the Diverse Intelligences Summer Institute.
May 2023	Paper on rationalization & counterfactuals accepted at ACL 2023.
April 2023	Gave an invited talk at the IST & Unbabel Seminars.
April 2023	Selected for the NSF GRFP fellowship.
Jan 2023	Selected as a winner of the inverse scaling prize.
Dec 2022	Presented our paper on self-rationalization & robustness at EMNLP 2022.
Oct 2022	We've released cs-sop.org, a repo of example CS SOPs for grad school applications!