K. W. Chan

I am an Associate Professor in the Department of Statistics at The Chinese University of Hong Kong (CUHK). I received my B.Sc. and M.Phil. in Risk Management Science from CUHK, A.M. and Ph.D. in Statistics from Harvard University. 

My research interest is statistical inference for dependent data and incomplete data. Currently, I am working on several projects on long-run variance estimation, online inference, trend inference, causal inference, robust statistics, high-frequency data analysis, change point analysis, and self-normalization. I am particularly keen on developing elegant statistical theories and creating new methodologies that strike a nice tradeoff between statistical and computational properties.

ACADEMIC BACKGROUND 

• Ph.D., Statistics, Harvard University (Supervisor: Xiao-Li Meng)

• A.M., Statistics, Harvard University

• M.Phil., Risk Management Science, CUHK 

• B.Sc., Risk Management Science (First Class Honors), CUHK 

AWARDS/ HONORS

• Vice-Chancellor's Exemplary Teaching Award, CUHK (2023)

• University Education Award, CUHK (2023)

• Silver Award in Educational Impact, Teaching and Learning Innovation Expo, CUHK (2022)

• Faculty Exemplary Teaching Award, CUHK (2019, 2021, 2023)

• Early Career Award, Research Grants Council, Hong Kong (2019)

• Distinction in Teaching Award, Harvard University (Fall 2016, Spring 2017, Fall 2017, Spring 2018)

• Best Teaching Assistant Award, Department of Statistics, CUHK (2013-14)

• Dean's List, CUHK (2010-11, 2011-12, 2012-13)