Kun Zhang

towards CausalAI

Kun Zhang

I am an assistant 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.

I extensively work with Clark Glymour, Peter Spirtes, Joseph Ramsey, Mingming Gong, Biwei Huang, Petar Stojanov, Zeyu Tang, Wei Chen, and others. I also work in the CAusal Brain Analysis Lab (CABAL).

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

Contact

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