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I'm Research Lead at Shift Lab. My research interests are the frontier between statistical modelling and machine learning. They tend to focus or deal with kernel based methods for interpolation or approximation problems, both from the Gaussian process and RKHS point of view.

An up-to-date list of my research work can be found on my google scholar page, and most of my teaching resources are available on my github account.

My CV is available here.