Angela Chen specializes in Human-Centered Artificial Intelligence (HAI), focusing on Human-AI Interaction. She is passionate about developing technologies that enhance human well-being. Her current work centers on creating AI agents to make mental health services more accessible.
Education
Carnegie Mellon University
Ph.D. Student in Robotics at the School of Computer Science
Generative AI in Healthcare Fellow @ Carnegie Mellon University Center for Machine Learning and Health
Main collaborators: Dr. Haiyi Zhu (Ph.D. advisor), Dr. Sherry Wu, and Dr. Robert Kraut
Teaching assistant for Human-Robot Interaction and Justice, Equity, Diversity, and Inclusion in Robotics
University of Illinois at Urbana-Champaign
Master of Science in Statistics
Bachelor of Science in Statistics
Computational Genomics Fellow @ National Center for Supercomputing Applications
Recent Publications and Projects
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Generative AI in Healthcare
Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time Series
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Generative AI Algorithm
Generalized Prompt Tuning: How to Use a Frozen Pre-Trained Univariate Time Series Foundation Model for Multivariate Time Series Prediction
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Trustworthy AI Algorithm
Data-Driven Discovery of Design Specifications (to Evaluate a Machine Learning Model’s Trustworthiness)
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Human-Robot Trust User Study
”Do it my way!”: Impact of Customizations on Trust Perceptions in Human-Robot Collaboration
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Home Robot System Design
AquaBot: Assistive Drinking Robot for the Mobility-impaired
Her previous research explored genetic contributions to various traits using statistical modeling:
Chen, A., Ge, W., Metcalf, W., Jakobsson, E., Mainzer, L., & Lipka, A. (2019). An assessment of true and false positive detection rates of stepwise epistatic model selection as a function of sample size and number of markers. Heredity, 122(5), 660-671.