Seattle, Washington, United States
Hello! I am a post-training lead at the Allen Institute for AI building the foundation of the open science of language models. Before that I was a research scientist and RLHF team lead at HuggingFace. I received my PhD at the University of California, Berkeley studying the intersection of robotics and machine learning. I was a member of the Department of Electrical Engineering and Computer Sciences, advised by Professor Kristofer Pister in the Berkeley Autonomous Microsystems Lab, and pseudo-advised by Roberto Calandra at Meta AI Research! I am actively involved in outreach and inclusion efforts and an advocate for mental health -- I was the EEGSA wellness chair and founder of the UC Berkeley Equal Access to Application Assistance program. Prior to UC Berkeley, I was a proud member of Cornell Electrical and Computer Engineering 2017 where I learned to do research with the Lab of Plasma Studies and the SonicMEMs Lab. I bring my research foundation in hardware, models, and physics to the data-driven world of machine learning. At Cornell, I was a part of Cornell Lightweight Rowing. I am happy to be a product of The Ocean State.
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Researching RLHF and fine-tuning LLMs in the open and for the common good with AllenNLP.
Machine learning research scientist & reinforcement learning from human feedback (RLHF) team-lead.
I work at the cross of novel robotics and model-based reinforcement learning for control. Advisors: Kristofer Pister, Roberto Calandra Committee: Sergey Levine, Claire Tomlin
Lectured to 800+ students for CS 188: Artificial Intelligence at UC Berkeley. Co-instructor of record (SP20), Graduate student instructor (SU20, FA20). Also taught EE16B: Designing Information Devices and Systems II (FA19).
Working with the controls team on robotics, RL, and other machine learning research.