Currently, I am a Visiting Student Research Collaborator at Princeton University, advised by Prof. Jonathan Pillow. I am an Electronic Engineering Ph.D. candidate at the City University of Hong Kong where I am advised by Prof. Rosa H.M. Chan.

My research focuses on statistical machine learning methods to extract hidden structure from high-dimensional neural data, infer brain connectivity using fully & empirical Bayes, and complex network study on multiple brain regions. I am interested in studying how information is encoded, decoded, and processed in our brain. Before directly pursuing my Ph.D., I completed my B.Eng. within 1% (2/230) in Information Engineering in September 2014.


  • Machine Learning: Bayesian Inference, Graphical Model, Generative Model
  • Complex Network:  Latent Structure Analysis, Graph Theory