Kun Zhang

Understanding, learning, and using causality

Kun Zhang

(I am currently on leave from CMU and working as a professor and the acting department chair of machine learning at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).)

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. Recently I have been focusing on causal representation learning. On the application side, I am interested in neuroscience, computer vision, computational finance, and climate analysis.

I work in the Causal Learning and Reasoning (CLeaR) research group, together with Clark Glymour, Peter Spirtes, Joseph Ramsey, and our students, postdocs, and visitors. During my leave from CMU, I also work in the Center for Integrative AI (CIAI) at MBZUAI.

See the Research page for a summary of some of our recent work on causal discovery and machine learning (especially transfer learning).


Email: kunz1(at)cmu.edu
Phone: +1(412)268-8573
Baker Hall 161B
Carnegie Mellon University
5000 Forbes Ave, Pittsburgh, PA 15213