{"id":109,"date":"2024-12-10T10:27:14","date_gmt":"2024-12-10T15:27:14","guid":{"rendered":"https:\/\/www.golive.clarku.edu\/faculty\/profiles\/li-han\/"},"modified":"2026-05-18T21:06:29","modified_gmt":"2026-05-19T01:06:29","slug":"li-han","status":"publish","type":"cu_faculty","link":"https:\/\/www.clarku.edu\/faculty\/profiles\/li-han\/","title":{"rendered":"Li Han"},"content":{"rendered":"

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<\/a>, one of the newest and growing interdisciplinary programs at Clark.<\/p>\n

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.<\/p>\n

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.<\/p>\n","protected":false},"author":0,"featured_media":1891,"parent":0,"template":"","meta":{"cu_faculty_f180_userid":"C16031338","cu_faculty_first_name":"Li","cu_faculty_last_name":"Han","cu_faculty_employment_status":"Full Time","cu_faculty_rank":"Professor","cu_faculty_position":"Professor","cu_faculty_phone":"","cu_faculty_email":"lhan@clarku.edu","cu_faculty_location":"","cu_faculty_about":"

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<\/a>, one of the newest and growing interdisciplinary programs at Clark.<\/p>\n

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.<\/p>\n

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.<\/p>","cu_faculty_degrees":"Ph.D. in Computer Science,<\/span> Texas A&M University, 2000\nM.S. in Biomedical Engineering,<\/span> Xi'an Jiaotong University, 1992\nB.S. in Biomedical Engineering,<\/span> Xi'an Jiaotong University, 1989","cu_faculty_cv":"https:\/\/faculty180.interfolio.com\/public\/download.php?key=SDRwNCtxSUpsamxBQ213WS9ucHFuNnMwT0hzQU11b2RPQkJ2cWc3amxyUmNRdVVXTkF4MU1sQjlBTGVzd29jQnZTZWY5RmRIVkVFaXZERXM5d0pTUDNzdjRJdGExWmxUcXlsSkRvZkdkVHdla2hVQ1FlVXBraU5qSFB5MTZPS3Y%3D","cu_faculty_links":"[]","cu_faculty_scholarly_interests":"Data Science, Computational Protein Study","cu_faculty_scholarly_works":"[{\"activityid\":13626,\"fields\":{\"Type\":\"Papers Published - Conference Proceedings\",\"Title of Paper\":\"<p>Exploring Deep Learning and Data Representations for the Prediction of Erosion Channels<\\\/p>\",\"Title of Published Proceedings\":\"30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Undergraduate and Master\\u2019s Consortium\",\"Title of Conference\":\"\",\"Conference Location\":\"Toronto, Canada\",\"Month \\\/ Season\":\"August\",\"Year\":2025,\"Publisher\":\"\",\"Publisher City and State\":\"\",\"Volume\":\"\",\"Issue Number \\\/ Edition\":\"\",\"Page Numbers\":\"\",\"DOI\":\"\",\"CoAuthor\":null,\"URL\":\"\",\"Description\":\"\",\"Include description in output citation\":0,\"Origin\":\"Manual\"},\"facultyid\":\"C16031338\",\"status\":[{\"id\":13626,\"status\":\"Completed\\\/Published\",\"term\":\"Summer\",\"year\":2025,\"termid\":\"2024\\\/05\",\"listingorder\":6,\"completionorder\":6},{\"id\":13626,\"status\":\"Submitted\",\"term\":\"Spring\",\"year\":2025,\"termid\":\"2024\\\/03\",\"listingorder\":2,\"completionorder\":2}],\"userid\":\"C16031338\",\"attachments\":[],\"coauthors_list\":[\"Alexander Vu\",\" Nishal Sukumar\",\"Arshad Kudrolli\",\"Li Han\"],\"sort_date\":\"2025-8-01\"},{\"activityid\":13628,\"fields\":{\"Type\":\"Papers Published - Conference 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First Passage with Machine Learning\",\"Conference \\\/ Meeting Name\":\"\",\"Location of Conference \\\/ Meeting\":\"\",\"Month \\\/ Season\":\"March\",\"Year\":2021,\"Sponsoring Organization\":\"American Physical Society\",\"CoAuthor\":null,\"URL\":\"http:\\\/\\\/meetings.aps.org\\\/Meeting\\\/MAR21\\\/Session\\\/X05.2\",\"Description\":\"\",\"Include description in output citation\":0,\"Origin\":\"Manual\"},\"facultyid\":\"C16031338\",\"status\":[{\"id\":3819,\"status\":\"Completed\\\/Published\",\"term\":\"Spring\",\"year\":2021,\"termid\":\"2020\\\/03\",\"listingorder\":6,\"completionorder\":6}],\"userid\":\"C16031338\",\"attachments\":[],\"coauthors_list\":[\"Isaac Khor\",\"Li Han\",\"Arshad Kudrolli\"],\"sort_date\":\"2021-3-01\"},{\"activityid\":3820,\"fields\":{\"Type\":\"Presentations\",\"Title of Presentation\":\"Statistical properties of ridge networks in crumpled sheets\",\"Conference \\\/ Meeting Name\":\"\",\"Location of Conference \\\/ Meeting\":\"\",\"Month \\\/ 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and State\":\"\",\"Publisher Country\":\"U.S.A.\",\"Volume\":\"101\",\"Issue Number \\\/ Edition\":\"\",\"Page Number(s) or Number of Pages\":\"11 pages\",\"ISSN\":\"\",\"DOI\":\"10.1063\\\/1.5100968\",\"CoAuthor\":null,\"URL\":\"https:\\\/\\\/pubs.aip.org\\\/aip\\\/jcp\\\/article-abstract\\\/151\\\/10\\\/105101\\\/197761\\\/Approximating-dynamic-proximity-with-a-hybrid?redirectedFrom=fulltext\",\"Description\":\"\",\"Include description in output citation\":0,\"Origin\":\"Manual\"},\"facultyid\":\"C16031338\",\"status\":[{\"id\":3818,\"status\":\"Completed\\\/Published\",\"term\":\"Fall\",\"year\":2019,\"termid\":\"2019\\\/01\",\"listingorder\":6,\"completionorder\":6}],\"userid\":\"C16031338\",\"attachments\":[{\"attachmentid\":2235,\"mimetype\":\"application\\\/pdf\",\"filename\":\"JCP_qtan_2019.pdf\",\"filesize\":4146682,\"downloadurl\":\"https:\\\/\\\/faculty180.interfolio.com\\\/public\\\/download.php?key=SDRwNCtxSUpsamxBQ213WS9ucHFuNnMwT0hzQU11b2RPQkJ2cWc3amxyUmNRdVVXTkF4MU1sQjlBTGVzd29jQkMzM1NZZmh0SzBHdFBjcWZyUXZvSkw2TXpsMW5xTXpqbW9LN3BpT3FsOTk4c1UzNWVONWJhZz09\"}],\"coauthors_list\":[\"Qingzhe Tan\",\"Mojie Duan\",\"Minghai Li\",\"Li Han\",\"Shuanghong Huo\"],\"sort_date\":\"2019-9-01\"}]","cu_faculty_awards_and_grants":"[{\"activityid\":4126,\"fields\":{\"Title\":\"CROSSROADS: Creating Robust Opportunities for Student Success through Real-world, Organized, and Applied Data Science \",\"Sponsor\":\"National Science Foundation\",\"Grant ID \\\/ Contract ID\":\"2436765\",\"Award Date\":\"2025-09-04\",\"Start Date\":\"2025-09-15\",\"End Date\":null,\"Period Length\":1,\"Period Unit\":\"Year\",\"Indirect Funding\":1,\"Indirect Cost Rate\":\"50.3\",\"Total Funding\":\"992671.09\",\"Total Direct Funding\":\"707312.77\",\"Currency Type\":\"USD\",\"Description\":\"

As Principal Investigator, I led the development of a major interdisciplinary research and education proposal in data science, with a total budget of approximately $992K, submitted to the National Science Foundation\\u2019s Data Science Corps program. This innovative project brings together a strong team of faculty from multiple departments, reflecting both the deeply interdisciplinary nature of data science and the collaborative strength of Clark\\u2019s Data Science Program.<\\\/p>\\n

Through this project, we are committed to advancing data science research, education, and service in collaboration with partner departments and faculty across campus. Our goals are to establish Clark University as a leader in data science education and research among small universities, contribute to the institution\\u2019s academic profile, and enhance student recruitment, retention, and success.<\\\/p>\",\"Abstract\":\"<p><span>Data Science (DS) is a transformative field that has come to profoundly impact every aspect of society. As such, providing widespread DS education is essential for cultivating a skilled and engaged workforce while ensuring national competitiveness in this rapidly growing domain. Currently much of the focus in undergraduate DS education has been on creating courses and programs for majors and minors, yet this approach leaves a significant gap: students outside DS programs often lack opportunities to develop essential data skills and fail to recognize valuable and innovative connections to DS. However, data literacy is critical for college students across all disciplines, enabling them to thrive in both their personal and professional lives. Therefore, connecting DS to diverse fields and real-world challenges while fostering collaborations with domain experts and community partners will inspire, prepare, and engage students with a data-driven world.\\u00a0\\u00a0<\\\/span><\\\/p>\\n<p><span>CROSSROADS (Creating Robust Opportunities for Student Success through Real-world, Organized, and Applied Data Science)\\u00a0is an innovative program designed to create flexible pathways into, through, and beyond DS education for a broad spectrum of students while promoting engagement with real-world DS applications. This project aims to establish an inclusive and interdisciplinary DS education ecosystem through three key components: (a) Domain Exploration Modules (DEMs) that integrate DS into diverse disciplines to enhance data literacy among general students and enrich DS education for majors and minors; (b) Data Science Studio (DS Studio), as the core of a practicum system that provides hands-on learning through student collaborations with community partners; and (c) Data Science Collaborative (DSCO) Workshops, fostering partnerships among educators, students, and community organizations to drive curriculum innovation and impactful community service. Additionally, the resources and findings developed by the project will be freely available online, enabling other institutions to adopt and adapt these creative approaches and thoughtfully designed materials to strengthen their DS curricula. Through these efforts, the project addresses critical gaps in DS education and\\u00a0provides a holistic model that promotes inclusivity and real-world learning opportunities while contributing to the development of a competitive and skilled national workforce.\\u00a0<\\\/span><\\\/p>\",\"Number of Periods\":3,\"URL\":\"\"},\"facultyid\":\"C16031338\",\"funding\":{\"9907\":{\"id\":9907,\"grantid\":4126,\"fundedamount\":\"305692.37\",\"yearfunded\":1,\"fundedtype\":\"Total\",\"currencytype\":\"USD\",\"startdate\":\"2025-09-15\",\"enddate\":\"2026-09-15\"},\"9908\":{\"id\":9908,\"grantid\":4126,\"fundedamount\":\"340009.07\",\"yearfunded\":2,\"fundedtype\":\"Total\",\"currencytype\":\"USD\",\"startdate\":\"2026-09-15\",\"enddate\":\"2027-09-15\"},\"9909\":{\"id\":9909,\"grantid\":4126,\"fundedamount\":\"346969.65\",\"yearfunded\":3,\"fundedtype\":\"Total\",\"currencytype\":\"USD\",\"startdate\":\"2027-09-15\",\"enddate\":\"2028-09-15\"},\"9910\":{\"id\":9910,\"grantid\":4126,\"fundedamount\":\"213428.06\",\"yearfunded\":1,\"fundedtype\":\"Direct\",\"currencytype\":\"USD\",\"startdate\":\"2025-09-15\",\"enddate\":\"2026-09-15\"},\"9911\":{\"id\":9911,\"grantid\":4126,\"fundedamount\":\"244626.79\",\"yearfunded\":2,\"fundedtype\":\"Direct\",\"currencytype\":\"USD\",\"startdate\":\"2026-09-15\",\"enddate\":\"2027-09-15\"},\"9912\":{\"id\":9912,\"grantid\":4126,\"fundedamount\":\"249257.92\",\"yearfunded\":3,\"fundedtype\":\"Direct\",\"currencytype\":\"USD\",\"startdate\":\"2027-09-15\",\"enddate\":\"2028-09-15\"}},\"coauthors\":{\"9250\":{\"authorid\":9250,\"grantid\":4126,\"firstname\":\"Li\",\"middleinitial\":\"\",\"lastname\":\"Han\",\"authortype\":\"PI\",\"percenteffort\":\"13\",\"sameschoolflag\":1,\"facultyid\":\"C16031338\",\"primaryunitid\":101},\"9251\":{\"authorid\":9251,\"grantid\":4126,\"firstname\":\"Terrasa\",\"middleinitial\":\"\",\"lastname\":\"Ulm\",\"authortype\":\"CoPI\",\"percenteffort\":\"8\",\"sameschoolflag\":1,\"facultyid\":\"C70291911\",\"primaryunitid\":135},\"9252\":{\"authorid\":9252,\"grantid\":4126,\"firstname\":\"Charles\",\"middleinitial\":\"\",\"lastname\":\"Jakobsche\",\"authortype\":\"Other\",\"percenteffort\":null,\"sameschoolflag\":1,\"facultyid\":\"C70205637\",\"primaryunitid\":9},\"9253\":{\"authorid\":9253,\"grantid\":4126,\"firstname\":\"Lyndon\",\"middleinitial\":\"D.\",\"lastname\":\"Estes\",\"authortype\":\"Other\",\"percenteffort\":null,\"sameschoolflag\":1,\"facultyid\":\"C70245777\",\"primaryunitid\":14},\"9254\":{\"authorid\":9254,\"grantid\":4126,\"firstname\":\"Jing\",\"middleinitial\":\"\",\"lastname\":\"Zhang\",\"authortype\":\"Other\",\"percenteffort\":null,\"sameschoolflag\":1,\"facultyid\":\"C17991370\",\"primaryunitid\":15},\"9255\":{\"authorid\":9255,\"grantid\":4126,\"firstname\":\"Andrew\",\"middleinitial\":\"L\",\"lastname\":\"Stewart\",\"authortype\":\"Other\",\"percenteffort\":null,\"sameschoolflag\":1,\"facultyid\":\"C70225435\",\"primaryunitid\":23},\"9256\":{\"authorid\":9256,\"grantid\":4126,\"firstname\":\"Eduard\",\"middleinitial\":\"A.\",\"lastname\":\"Arriaga-Arango\",\"authortype\":\"Other\",\"percenteffort\":null,\"sameschoolflag\":1,\"facultyid\":\"C70301817\",\"primaryunitid\":18},\"9257\":{\"authorid\":9257,\"grantid\":4126,\"firstname\":\"Matt\",\"middleinitial\":\"P.\",\"lastname\":\"Malsky\",\"authortype\":\"Other\",\"percenteffort\":null,\"sameschoolflag\":1,\"facultyid\":\"C05721358\",\"primaryunitid\":25},\"9258\":{\"authorid\":9258,\"grantid\":4126,\"firstname\":\"Katerine\",\"middleinitial\":\"\",\"lastname\":\"Bielaczyc\",\"authortype\":\"Other\",\"percenteffort\":null,\"sameschoolflag\":1,\"facultyid\":\"C70315841\",\"primaryunitid\":12}},\"status\":[{\"grantid\":4126,\"status\":\"Funded - 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