My research interests lie in machine learning, artifical intelligence, and data science, especially in causal reasoning, transfer learning, and deep learning. I develop computational methods for causal reasoning from observational data and exploit causal knowledge to build more intelligent machine learning algorithms.
Causal Inference
Causality for Machine Learning, e.g., Transfer Learning
Deep Generative Models
Applications in Computer Vision, Bioinformatics, Financial Data Analysis, etc.