I am an associate professor in the philosophy department and an affiliate faculty member in the machine learning department at Carnegie Mellon University. My research interests lie in machine learning and artificial intelligence, especially in causal discovery and causality-based learning. I develop methods for automated causal discovery from various kinds of data, investigate learning problems including transfer learning, concept learning, and deep learning from a causal view, and study philosophical foundations of causation and various machine learning tasks. On the application side, I am interested in neuroscience, computer vision, computational finance, and climate analysis.
See the Research page for a summary of some of our recent work on causal discovery and machine learning (especially transfer learning).