Yan Li is an assistant professor in Claremont Graduate University’s Center for Information Systems & Technology (CISAT). Her research focuses on such data and knowledge management areas as data mining, business intelligence, and data warehousing as well as on semantic technologies with an emphasis on exploring the synergies between information systems and advanced data analytics. Her other research stream focuses on developing Information & Communication Technology (ICT) solutions for underserved populations in low-resource areas and improving social inclusion in health care.
Li received both an MS and PhD from Virginia Commonwealth University. Prior to joining CISAT, Li was a data scientist in industry, giving her hands-on experience in advanced analytics, machine learning, and big data platforms.
Li recently received two $20,000 Microsoft Azure Research Awards. The first is to design a data pipeline framework for social media analysis. The second is for a Continuing Medical Education capacity building for developing countries. She has published numerous journal articles and book chapters, and she has delivered many conference presentations in the fields of data mining and other forms of data analysis. She investigates and learns new and advanced methods, techniques, and tools for big data analytics, text mining, ETL, business intelligence and visual analytics, and multiple-criteria decision analysis.
Driven by her intellectual curiosity for data and emergent information technologies and by her passion for designing and building, Li has oriented her career in a direction that integrates research, teaching, and practice in the realm of information science. Attracted by CISAT’s distinctive design- and practice-based approaches to solve important social and business problems, Li seeks to expand her career at CGU as an assistant professor of data science.
Co-authored with Manoj A. Thomas and Kweku-Muata Osei-Bryson (forthcoming 2016). “A Snail Shell Process Model for Knowledge Discovery via Data Analytics.” Decision Support Systems. DOI.
Co-authored with Manoj A. Thomas and Kweku-Muata Osei-Bryson. “Ontology-based data mining model management for self-service knowledge discovery.” Information Systems Frontiers (2016): 1–19.
Co-authored with Roland Weistroffer. “Multiple Criteria Decision Analysis Software.” In Multiple Criteria Decision Analysis: State of the Art Survey, edited by José Figueira, et al. 1301–41. New York: Springer-Verlag, 2016.
Co-authored with Manoj A. Thomas. “Citizen Centric Framework for ICTE Capacity Development in Haiti.” Conference presentation. Negombo, Sri Lanka: 13th International Conference of IFIP working group 9.4, 2015.
Co-authored with Manoj Thomas and Kweku-Muata Osei-Bryson. “Using association rules mining to facilitate qualitative data analysis in theory building.” In Advances in research methods for information systems research, edited by Kweku-Muata Osei-Bryson and Ojelanki Ngwenyama, 79–92. New York: Springer, 2014.
Co-authored with Manoj A. Thomas. “A multiple criteria decision analysis (MCDA) software selection framework.” Conference Presentation. Waikoloa, HI: 47th Hawaii International Conference on System Sciences, 2014.
Databases & Big Data
Knowledge Discovery & Data Mining
Data Science Practicum