I am a Computer Scientist on the Core Data Science team at Meta. I am interested in developing computational methods, especially probabilistic graphical models, to discover interesting latent structures from data. Before joining Meta, I obtained my PhD in Computer Science from University of Maryland, College Park. My dissertation research focused on developing probabilistic topic models for applications in natural language processing and computational social science. I did my undergraduate study in Computer Science at Nanyang Technological University, Singapore.
Machine learning, topic modeling, probabilistic graphical models, and non-parametric Bayesian modeling.