Appointment positions the interdisciplinary program for continued growth and an increasingly AI-driven future
The University of Connecticut is pleased to announce that Kun Chen, Professor of Statistics, has been named Academic Director of UConn’s M.S. in Data Science program.
Chen brings to the position an exceptional record of interdisciplinary scholarship, academic leadership, teaching, and mentorship. A professor in UConn’s Department of Statistics and a research fellow in the Center for Population Health at UConn Health, his research spans statistical learning, machine learning, optimization, health data science, bioinformatics, population health, and healthcare analytics.
An internationally recognized scholar, Chen is a Fellow of the American Statistical Association and an elected member of the International Statistical Institute. In 2024, he received the College of Liberal Arts and Sciences Innovative Scholarship Award, which recognizes outstanding interdisciplinary research addressing significant challenges to knowledge, human well-being, and society. His work exemplifies the collaborative, application-focused approach that is central to UConn’s vision for data science.
As Academic Director, Chen will provide intellectual and strategic leadership for the M.S. in Data Science program. He will work across UConn’s schools and colleges to guide the program’s academic direction, strengthen its curriculum, support faculty collaboration, enhance the student experience, deepen relationships with industry and external partners, and identify new opportunities for growth and innovation.
UConn’s M.S. in Data Science is a 30-credit, career-focused graduate program offered in both an intensive, cohort-based on-campus format and a flexible online format. Drawing on faculty expertise from five schools and colleges—the College of Agriculture, Health and Natural Resources, the School of Business, the College of Engineering, the College of Liberal Arts and Sciences, and the Neag School of Education—the interdisciplinary curriculum prepares students across the full data science lifecycle, including statistical analysis, computing, machine learning, data management, visualization, communication, research design, ethics, and responsible data use. The program culminates in a team-based capstone through which students work collaboratively to address consequential, real-world challenges, often in partnership with industry and organizational collaborators.
Chen’s appointment comes at a pivotal moment for the field. As data science and artificial intelligence rapidly converge, organizations increasingly need professionals who combine advanced analytical and AI capabilities with strong statistical foundations, ethical judgment, and deep domain expertise.
Under Chen’s leadership, the program will build on its strengths in statistics, computing, machine learning, and applied problem-solving while expanding opportunities at the intersection of data science and artificial intelligence. This next phase will strengthen connections with UConn’s growing AI research and educational ecosystem, deepen industry engagement, expand the program’s national visibility, and prepare graduates to lead in a professional landscape increasingly shaped by generative AI, advanced machine learning, and intelligent decision systems. At the same time, the program will preserve the qualities that distinguish it: its interdisciplinary structure, academic rigor, commitment to responsible practice, and focus on translating technical knowledge into meaningful real-world impact.
Chen succeeds Jeremy Teitelbaum, who has served as Academic Director since 2023 and is stepping down from the role. As the program’s first dedicated director following its launch, Jeremy has led the M.S. in Data Science program through a formative period of growth and development. His leadership has helped establish the program’s academic identity, strengthen its interdisciplinary partnerships, expand enrollment, and build a strong foundation for continued success. We are sincerely grateful for Jeremy’s vision, dedication, and service, and we thank him for the lasting contributions he has made to UConn’s M.S. in Data Science program.
Please join me in thanking Jeremy, and congratulating Kun.
