Valerie Chen
Carnegie Mellon University
Machine Learning Department
Carnegie Mellon University
Machine Learning Department
I recently completed my PhD in Machine Learning at Carnegie Mellon University, where I was advised by Ameet Talwalkar. My goal is to build AI systems that can effectively collaborate with people. My research spans machine learning, human-AI interaction, and AI systems, where I study how to evaluate, design, and improve AI agents through real-world interaction and feedback.
During my PhD, I have been selected as a "ML and Systems Rising Star" and "Rising Star in Data Science", and my research was supported by a CMU Presidential Fellowship and NSF Graduate Research Fellowship. I have also interned at OpenHands (with Graham Neubig), NYU (with He He), and Microsoft Research (with Q. Vera Liao and Jenn Wortman Vaughan).