Li Han

Professor, Computer Science

Li Han obtained her Ph.D. in Computer Science from Texas A&M University, College Station, in 2000. She arrived at Clark in 2002, after completing her postdoc at Carnegie Mellon University. She is a Professor of Computer Science and currently serves as the Director of the Data Science Program, one of the newest and growing interdisciplinary programs at Clark.

Professor Han’s doctoral study was in robotics, specifically dexterous manipulation and motion planning. At Clark, she had done research on robotics and computational study of protein folding, in collaboration with faculty from Mathematics and Chemistry, and with funding support from NSF and NIH. Her current research interest focuses on machine learning, data science education, and Chem-Informatics.

Professor Han has developed and taught a variety of courses at Clark, such as Introduction to Computing, Introduction to Data Science, Algorithms, Robotics, and Computer Graphics. She served as the faculty adviser of the Clark Competitive Computing Club (C4) and the coach of the Clark programming competition teams for over a decade. Prior to COVID, Clark teams regularly participated and excelled in inter-collegiate contests. She now advises the Data Science Collaboration club.

Degrees

  • Ph.D. in Computer Science, Texas A&M University, 2000
  • M.S. in Biomedical Engineering, Xi’an Jiaotong University, 1992
  • B.S. in Biomedical Engineering, Xi’an Jiaotong University, 1989

Affiliated Departments

Computer Science, Becker School of Design and Technology, Computer Science, Data Science

Scholarly and creative works

Awards and grants

  • CROSSROADS: Creating Robust Opportunities for Student Success through Real-world, Organized, and Applied Data Science

    National Science Foundation

  • Funding for Project CODY

    Hoche-Scofield Foundation

    clock icon Apr. 1, 2021 – Dec. 31, 2022
  • Assessing Student Perceptions of Undergraduate Computer Science in a Liberal Arts University

    ACM SIGCSE (Special Interest Group on Computer Science Education)