Associate Professor School of Computing Graduate School of AI KAIST
I’m an Associate Professor in the School of Computing at KAIST. Before joining KAIST, I was an Assistant Professor of Computer Science and Center for Cognitive Science at Rutgers University. I lead the Agent Machine Learning Lab located at both KAIST and Rutgers. My research interest is to develop machine learning algorithms for perception, cognition, and action in order to make a human-like intelligent agent. In pursuing this, I’m particularly interested in learning representations and models of the world (a.k.a. world models) and policies in a self-supervised and structured way (e.g., causal, compositional, temporal, and hierarchical), with the tools of deep learning, reinforcement learning, and probabilistic learning. I also enjoy being inspired by Cognitive Science and Neuroscience to understand human intelligence for brain-inspired AI. I received my Ph.D. at the University of California, Irvine on the study of scalable approximate Bayesian inference under the supervision of Prof. Max Welling. I did my postdoc working on deep learning at MILA under Prof. Yoshua Bengio. Here is my CV.
📧 Email: sjn.[last_name] at gmail 📪 Address: E3-1 3435, 291 Daehak-ro, Yuseong-gu, Daejeon, South Korea 🐦 twitter: @SungjinAhn_
Machine Learning for Perception, Cognition, and Action