Angela Chen is a PhD student in Robotics at Carnegie Mellon University, focusing on Human-Centered Artificial Intelligence (HAI). Her current research leverages generative AI to enhance the training of mental health providers.
Education
Carnegie Mellon University
Ph.D. Student in Robotics at the School of Computer Science
Teaching Assistant for Human-Robot Interaction
Teaching Assistant for Justice, Equity, Diversity, and Inclusion in Robotics
Specialized in Human-Centered AI, Trustworthy AI, and Generative AI
University of Illinois at Urbana-Champaign
Master of Science in Statistics
Computational Genomics Graduate Fellow @ National Center for Supercomputing Applications
Bachelor of Science in Statistics
Recent Publications and Projects
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Trustworthy AI Algorithm
Data-Driven Discovery of Design Specifications (2024 Proceedings of the AAAI Conference on Artificial Intelligence)
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Human-Robot Trust Study
”Do it my way!”: Impact of Customizations on Trust Perceptions in Human-Robot Collaboration
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Assistive Home Robot
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.