Angela Chen specializes in Human-Centered Artificial Intelligence (HAI), with a focus on Human-AI Interaction. Her doctoral research centers on developing AI agents to make mental health services more accessible. She is passionate about creating technologies for human well-being.
Education
Carnegie Mellon University
Ph.D. Candidate in Robotics at the School of Computer Science
Generative AI in Healthcare Fellow @ Carnegie Mellon University Center for Machine Learning and Health
Dissertation committee: Dr. Haiyi Zhu (Chair), Dr. Sherry Wu, Dr. Aaron Steinfeld, and Dr. Holly Swartz
Close collaborator: Dr. Robert Kraut
Teaching assistant for Human-Robot Interaction
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
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.