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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.
I study human–AI interaction to develop agents that collaborate effectively with humans. I am particularly excited about applications of AI+SE and work closely with LMArena, JetBrains, and OpenHands. My work has been recognized by a NSF Graduate Research Fellowship, CMU Presidential Fellowship, and Rising Stars in Data Science.
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.
📢 On the academic job market (2025-26)!
Please reach out if I might be a good fit. 📢
Email /
Google Scholar / Twitter
Selected Work See here for a full list.
Copilot Arena: A Platform for Code LLM Evaluation in the Wild
Wayne Chi*, Valerie Chen*, Anastasios Nikolas Angelopoulos, Wei-Lin Chiang, Aditya Mittal, Naman Jain, Tianjun Zhang, Ion Stoica, Chris Donahue, Ameet Talwalkar
ICML, 2025
Need Help? Designing Proactive AI Assistants for Programming
Valerie Chen, Alan Zhu, Sebastian Zhao, Hussein Mozannar, David Sontag, Ameet Talwalkar
CHI, 2025
Learning Personalized Decision Support Policies
Umang Bhatt*, Valerie Chen*, Katie Collins,
Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar
AAAI, 2025
The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers
Hussein Mozannar*, Valerie Chen*, Mohammed Alsobay, Subhro Das, Sebastian Zhao, Dennis Wei, Manish Nagireddy, Prasanna Sattigeri, Ameet Talwalkar, David Sontag
TMLR, 2025
Do LLMs exhibit human-like response biases? A case study in survey design
Lindia Tjuatja*, Valerie Chen*,
Sherry Tongshuang Wu, Ameet Talwalkar, Graham Neubig
TACL, 2024
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
Valerie Chen,
Q. Vera Liao, Jennifer Wortman Vaughan, Gagan Bansal
CSCW, 2023
Use-Case-Grounded Simulations for Explanation Evaluation
Valerie Chen,
Nari Johnson, Nicholay Topin*, Gregory Plumb*, Ameet Talwalkar
NeurIPS, 2022
Interpretable Machine Learning: Moving From Mythos to Diagnostics
Valerie Chen*,
Jeffrey Li*,
Joon Sik Kim**,
Gregory Plumb**,
Ameet Talwalkar
Communications of ACM, 2022
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