Angela Chen is a PhD student at Carnegie Mellon University.
Her research interests focus on Human-centered Artificial Intelligence (AI), Human-AI Collaboration, and Trustworthy AI.
Education
Carnegie Mellon University
Ph.D. Student in Robotics at the School of Computer Science
Teaching Assistant for Human-Robot Interaction
University of Illinois at Urbana-Champaign
Master of Science & Bachelor of Science in Statistics
Computational Genomics Graduate Fellow @ National Center for Supercomputing Applications
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
”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.