I am Keith Chan, a third-year Ph.D. candidate in Statistics at Harvard University. I received my undergraduate and master degree in Risk Management Science at the Chinese Univerisity of Hong Kong (CUHK). My research interest is statistical inference for time series and incomplete data. Currently, I am working on several projects on covariance matrix estimation, multiple imputations and multi-phase inference. I am particularly keen on developing elegant statistical theories and creating new methodologies that strike a nice tradeoff between statistical and computational properties. 


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