September 2024: Giving a talk on safety and ethical implications of LLMs at the M2L Summer School.
July 2024: Presenting at a CogSci workshop on conceptual structure in language models.
June 2024: Attending the Mexican NLP Summer School (co-located with NAACL) and participating in a panel on PhDs in NLP.
November 2023: Guest lecture at Brown CS 1460 on grounded language learning.
October 2023: Speaking at the DIMACS workshop on synergies between language models and multi-agent reinforcement learning.
Research Experience
DeepMind, London: Research Intern in Multi-agent Reinforcement Learning (Summer 2020), working with Angeliki Lazaridou, Richard Everett, Edward Hughes, and Yoram Bachrach.
Google AI, Mountain View: Research Intern in Vision and Language Reinforcement Learning (Summer 2019), working with Alex Ku and Jason Baldridge.
Microsoft Research: Participant in the Microsoft Turing Academic Program (Summer 2021), collaborating with Dean Carignan, Saurabh Tiwary, Pooya Moradi, Ali Alvi, and others.
Johns Hopkins University: JSALT Summer Workshop on Speech and Language Technology (Summer 2018), working with Ellie Pavlick, Sam Bowman, and Tal Linzen.
Max Planck Institute: Attended the Cornell, Maryland, Max Planck Pre-doctoral Research School (CMMRS, Summer 2018).
University of Pennsylvania: Undergraduate Researcher (Summers 2017–2018), advised by Ani Nenkova and Byron Wallace.
Rutgers University: Undergraduate Researcher (2016–2018), advised by Rajiv Gandhi.
Princeton University: Participant in the Program in Algorithmic and Combinatorial Thinking (PACT, Summer 2016), led by Rajiv Gandhi.