K. W. Chan

Biography

Kin Wai Chan is an Associate Professor in the Department of Statistics and Data Science at The Chinese University of Hong Kong (CUHK) and the Co-Director of the interdisciplinary Computational Data Science Programme. He began his academic journey at CUHK, graduating with a B.Sc. with First Class Honors and an M.Phil. in Risk Management Science. He then moved to Harvard University, where he completed his A.M. and Ph.D. in Statistics under the supervision of Xiao-Li Meng. 

Kin Wai’s research focuses primarily on statistical inference for dependent data and incomplete data. He is particularly keen on developing elegant statistical theories and creating new methodologies that strike a nice balance between statistical accuracy, computational efficiency, and various types of robustness. His ongoing research projects span long-run variance estimation, differencing techniques, online inference, causal inference, trend inference, and change point analysis.

In addition to his research, Kin Wai has received numerous awards for his commitment to teaching and academic excellence. In 2023, he received the CUHK University Education Award—the highest honor in education at the university—along with the Vice-Chancellor's Exemplary Teaching Award. He is a three-time recipient of the Faculty Exemplary Teaching Award (2019, 2021, and 2023) and was awarded the Early Career Award by the Research Grants Council of Hong Kong in 2019 for his highly rated research project and educational plans. 

In addition to his reserach, Kin Wai is actively engaged in university administration and educational development. He currently serves as a member of the University Task Force on Upholding Academic Honesty and the University Task Force on Digital Literacy Core Requirement.