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 Program in Data Science, 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 computational protein study and data science.
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 has been the adviser of the Clark Competitive Computing Club (C4) and the coach of the Clak programming competition teams since their founding in mid 2000s. Prior to COVID, Clark teams regularly participated and excelled in inter-collegiate contests.
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 Department(s)
-
Scholarly and Creative Works
Scroll to top.-
Dynamics and Allosteric Information Pathways of Unphosphorylated c-Cbl
Published in Journal of Chemical Information and Modeling
Nov.
●
2022
●
Issue #62
-
Allosteric signal propagation pathways of unphosphorylated RING-type E3 ubiquitin ligase c-Cbl
ACS (American Chemical Society) Annual Meeting, Fall 2022
●
Chicago, IL
August
●
2022
Sponsored by ACS
-
Statistical properties of ridge networks in crumpled sheets
●
March
●
2021
Sponsored by American Physical Society
-
Predicting Erosion Channel First Passage with Machine Learning
●
March
●
2021
Sponsored by American Physical Society
-
Approximating Dynamic Proximity with a Hybrid Geometry Energy-Based Kernel for Diffusion Maps
Published in The Journal of Chemical Physics
September
●
2019
●
Vol. 101
-
-
Awards & Grants
-
Funding for Project CODY
Hoche-Scofield Foundation
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)
Jul. 1, 2019
-