I am a fourth-year PhD student working with Arthur Gretton at Gatsby Computational Neuroscience Unit, UCL. I recently passed my thesis defense (viva), and will officially finish my PhD study in December 2017. I received M.Eng. from Tokyo Institute of Technology where I worked with Masashi Sugiyama on supervised feature selection using squared-loss mutual information. Before that I was a research assistant working with Thanaruk Theeramunkong on a Thai news relations discovery project. I received B.Sc. in Computer Science from SIIT, Thammasat university, Thailand.

Research interests My current topics of research include nonparametric two-sample testing, independence testing, goodness-of-fit testing, kernel methods, and approximate Bayesian inference. I, however, have a much broader interest in many other topics. These include, but not limited to, natural language processing (my special interest is in Thai language processing), deep neural networks, dimensionality reduction and reinforcement learning. If there is a chance that I can contribute to your projects, please get in touch to discuss. I am also open for a discussion even if your project idea is not yet consolidated.

My works are listed on this page. Software packages I released are here. I occasionally update my blog summarizing what I learn. Some photos I have taken are on Flickr.

Contact: Wittawat Jitkrittum (วิทวัส จิตกฤตธรรม) ( )


Updated: 29-Nov-17
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