Selected Honors & Awards

2024: Rising Star in Machine Learning, University of Maryland. One of 6 sponsored to attend a 2-day academic career workshop.
2024: Outstanding Area Chair, Association for Computational Linguistics. Awarded to the top area chairs at the EMNLP 2024 conference.
2024: Rising Star in Generative AI, UMass Amherst. Awarded to 9 people on the faculty market. Sponsored to attend a 2-day academic career workshop.
2023: Top Reviewer, NeurIPS. Awarded to the top ~10% of reviewers. Granted free registration.
2023: Rising Star in EECS, Georgia Tech. Acceptance rate 35% across all universities. Sponsored to attend a 2-day academic career workshop.
2023: Outstanding Area Chair, Association for Computational Linguistics. Awarded to the top 1.5% of area chairs and reviewers at the ACL 2023 conference.
2020: Outstanding Intern, Allen Institute for AI. Gift of $10,000 and returning oﬀer. Awarded to 2-3 interns per year by research mentor nomination.
2018-2021: Travel Awards, Various organizations. Received over $4,000 outside of advisor funding to attend conferences over the course of my PhD.
2018: Graduate Cohort Member, ACM Computing Research Association. Sponsored to attend the Association for Computing Machinery (ACM)’s national workshop for female computing PhD students.
2017: Graduate Fellowship, Phi Kappa Phi Honor Society. Gift of $5,000. Awarded to 51 students nationwide beginning doctoral studies.

Selected Invited Talks

Is “Attention = Explanation”? Past, Present, and Future. Keynote with Sarthak Jain at the Big Picture Workshop, EMNLP. Dec 2023. recording (from 1:57), slides
What is AI? Committee on Environment, Energy, and Technology, Washington State Senate. Dec 2023.
Towards Transparent Language Models. USC, Oct 2023
Towards Transparent Language Models. UC San Diego, Oct 2023
Towards Transparent Language Models. UC Irvine, Oct 2023
Two Views of Language Model Interpretability. Keynote at the Workshop on Natural Language Reasoning and Structured Explanations, ACL. July 2023. recording (from 7:45), slides
On Understanding and Explaining Large Language Models-what’s missing? University of Washington Computational Linguistics seminar (remote). Feb 2023
Explaining Machine Learning Systems for and with Natural Language. University of Washington. Oct 2022
Explaining Machine Learning Systems for and with Natural Language. University of Washington. Oct 2022
Reframing Human-AI Collaboration for Generating Free-Text Explanations. University of Oxford (remote). April 2022
Measuring Association Between Labels and Free-Text Rationales. NLP with Friends seminar (remote). Feb. 2021
BlackBox NLP: What are we looking for, and where do we stand? USC. Jan. 2020