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Boyuan Chen

Chen

Assistant Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science

Boyuan Chen's research focuses on Robotics, Computer Vision, and Machine Learning. He is also broadly interested in AI for science. At Duke, he leads the General Robotics Lab.

He is interested in developing "generalist robots" that learn, act, and improve by perceiving and interacting with the complex and dynamic world. Ultimately, he hopes that robots and machines can be equipped with high-level cognitive skills to assist people and unleash human creativity.

Boyuan Chen obtained his Ph.D. in Computer Science at Columbia University with Hod Lipson.

Appointments and Affiliations

  • Assistant Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science
  • Assistant Professor in the Department of Electrical and Computer Engineering

Contact Information

Education

  • Ph.D. Columbia University, 2022
  • M.S. Columbia University, 2018
  • B.S. Jilin University (China), 2016

Research Interests

Robotics, computer vision, machine learning, AI for science

Courses Taught

  • COMPSCI 590: Advanced Topics in Computer Science
  • ECE 493: Projects in Electrical and Computer Engineering
  • ECE 899: Special Readings in Electrical Engineering
  • EGRMGMT 591: Special Readings in Engineering Management
  • ME 391: Undergraduate Projects in Mechanical Engineering
  • ME 491: Special Projects in Mechanical Engineering
  • ME 555: Advanced Topics in Mechanical Engineering
  • ME 591: Research Independent Study in Mechanical Engineering or Material Science
  • NEUROSCI 493: Research Independent Study 1

In the News

Representative Publications

  • Chen, B; Huang, K; Raghupathi, S; Chandratreya, I; Du, Q; Lipson, H, Automated discovery of fundamental variables hidden in experimental data, Nature Computational Science, vol 2 no. 7 (2022), pp. 433-442 [10.1038/s43588-022-00281-6] [abs].
  • Chen, B; Kwiatkowski, R; Vondrick, C; Lipson, H, Fully body visual self-modeling of robot morphologies., Sci Robot, vol 7 no. 68 (2022) [10.1126/scirobotics.abn1944] [abs].