I am a researcher working in the field of machine learning (intersection of computer science and statistics). I completed my PhD study at Gatsby Computational Neuroscience Unit, UCL where I worked with Arthur Gretton on various topics related to non-parametric statistical tests. 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 non-parametric 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: 11-Dec-17
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