About Me

I am Ruiqi Chen, a Ph.D. student in Computer Science and Engineering at the University of Michigan. Previously, I was at the University of Washington, where I worked with Prof. Jon E. Froehlich in Makeability Lab and Prof. Jacob O. Wobbrock in ACE Lab. I also collaborate closely with Prof. Aditya Parameswaran at the University of California, Berkeley.

My research focuses on building and evaluating AI models and systems that align with human knowledge, goals, and values. More broadly, I am interested in how AI systems can better understand what people know, need, and care about, from agentic data systems and multimodal benchmarks to embodied and human-AI applications.

📖 Education

• Ph.D. in Computer Science and Engineering, University of Michigan, 2026 – Present
• M.S. in Human Centered Design & Engineering, University of Washington, 2024 – 2026
• B.S. in Interdisciplinary Studies of Data Science, Duke University, 2020 – 2024
• B.S. in Data Science, Duke Kunshan University, 2020 – 2024

🎖 Teaching, Mentorship and Service

• Program Committee Member
  • AAAI Conference on Artificial Intelligence (AAAI), 2027
• Paper reviewer
  • IEEE International Conference on Robotics and Automation (ICRA), 2027
  • International Conference on Learning Representations (ICLR), 2027
  • ACM Conference on Human Factors in Computing Systems (CHI), 2025–2027
• Student volunteer
  • ACM Symposium on User Interface Software and Technology (UIST), 2025

📧 Contact

If you are working on human-centered AI models — spanning agentic systems, multimodal evaluation, and embodied AI — and are looking for a collaborator, please feel free to reach out at ruiqich@umich.edu.