Valerie Chen
Carnegie Mellon University
Machine Learning Department
Carnegie Mellon University
Machine Learning Department
I'm a final year Machine Learning PhD student at Carnegie Mellon University advised by Ameet Talwalkar. I also spend time at OpenHands working with Graham Neubig.
As AI systems become deeply embedded in human work, my research focuses on building AI systems that collaborate effectively with people. I work at the intersection of ML, NLP, and HCI on:
Impact: My work has been recognized by the Rising Stars in Data Science award, CMU Presidential Fellowship, and NSF Graduate Research Fellowship. My research has fostered close collaborations with major international companies in engineering and financial sectors, including JetBrains, Feedzai, and BNY Mellon, and have been cited in releases by leading model providers like Mistral, InceptionAI, and Qwen. My research has also received various awards, including Best Paper at a NeurIPS workshop and Oral Presentations at ICLR and AAAI.
During my PhD, I was a visiting researcher at NYU with He He and intern at Microsoft Research with Q. Vera Liao and Jennifer Wortman Vaughan. I completed my BS in Computer Science at Yale University.
See the full list of publications here.
How Can We Assess Human-Agent Interactions? Case Studies in Software Agent Design