Kai Fan is currently a fourth year PhD student in the statistical machine learning group at Duke University, under the supervision of Prof. Katherine A. Heller. Prior to that, he received his B.S. Degree in probability and statistics at the School of Mathematical Sciences, Peking University in 2010, and M.S. Degree in Machine Learning at the School of Electronics Engineering and Computer Science, Peking University.

Before joining Katherine Heller's group, I started my machine learning research with Prof. Liwei Wang since 2009. My past research interests relate broadly to machine learning, especially active learning, deep learning, and data privacy. After I arrived at Duke, I rotated with two professors, designing novel sequential Monte Carlo algorithm supervised by Prof. Scott C. Schmidler and devloping deep convolutional k–mer neural networks for predicting transcription binding intensity supervised by Prof. Raluca Gordan respectively.

Since 2014 summer, I was officially advised by Prof Katherine A. Heller. Recently I emphasize scalable Bayesian machine learning, GPU parallel computing, and relevant applications, particularly to personalized health and social networks.