Cheuk Hin Cheng’s research interests include changepoint detection, high-dimensional statistical inference, generative machine learning, nonparametric statistics, time series analysis, and self-normalization. He is particularly interested in developing elegant statistical theory and methodology for complex and dependent data. He earned his doctorate in statistics from the Chinese University of Hong Kong.