Chacha Chen

Chacha Chen

陈诧姹

PhD student
Chicago Human+AI lab
Department of Computer Science, University of Chicago
Email: chacha@uchicago.edu

I am a PhD student in Computer Science at UChicago, advised by Chenhao Tan.

Research Focus

  • Multimodal Large Language Model (LLM) Evaluation and Post-training for Healthcare
  • Human-AI Collaboration, specifically human-centered explanations and human-AI decision making

I am passionate about putting humans at the center of AI development, including how to understand the process of human-AI interaction and how we can better build/deploy AI tools that can actually be useful in real-world settings, especially in medical contexts.

Selected Publications (Full List)

Human-AI Decision Making with Domain Experts: A Case Study on AI-Assisted Prostate Cancer MRI Diagnosis
Chacha Chen, Han Liu, Jiamin Yang, Benjamin M. Mervak, Bora Kalaycioglu, Grace Lee, Emre Cakmakli, Matteo Bonatti, Sridhar Pudu, Osman Kahraman, Gul Gizem Pamuk, Aytekin Oto, Aritrick Chatterjee, Chenhao Tan.
[Preprint]

GPT-4V Cannot Generate Radiology Report Yet
Yuyang Jiang*, Chacha Chen*, Dang Nguyen, Benjamin M. Mervak, Chenhao Tan.
Findings of Machine Learning for Health (ML4H 2024) and findings of NAACL 2025.
[Paper] [Slides]

The Use of Generative Search Engines for Knowledge Work and Complex Tasks.
Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, Longqi Yang.
An empirical analysis of large-scale user interactions with Bing Chat, a GPT-4 backed generative search engine.
[Paper]

Machine Explanations and Human Understanding
Chacha Chen*, Shi Feng*, Amit Sharma, Chenhao Tan
FAccT 2023, TMLR 2023, and best paper at HMCaT @ ICML 2022
[Paper] [Slides] [Video]
[Machine Explanations Human Studies Literature Survey]

Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies
Vivian Lai, Chacha Chen, Q. Vera Liao, Alison Smith-Renner, Chenhao Tan
FAccT 2023
[Paper] [Slides] [Survey Website]

Learning Human-Compatible Representations for Case-Based Decision Support.
Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen, Chenhao Tan.
Proceedings of the 11th International Conference on Learning Representations (ICLR 2023)
[Paper]

UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data
Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao
Proceedings of the Web Conference (WWW 2021)
[Paper] [Slides]

Toward a Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control
Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu, Zhenhui Li.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020)
[Paper]

Experience

Microsoft Research, Redmond, WA, US

Research Intern, Summer 2023

Amazon, AWS, Santa Clara, CA, US

Applied Scientist Intern, Summer 2022

IQVIA, Analytics Center of Excellence, Boston, MA, US

Machine Learning Research Intern, Summer 2020