Bo Dai

Assistant Professor
(beginning in Spring 2020)

209 Sitterson Hall
bodai (at)

(149) Ph.D. 2018, Georgia Tech. Broad topics in machine learning, including optimization, reinforcement learning, deep learning, kernel methods, and graphical models, and their applications.


Dr. Bo Dai obtained his Ph.D. degree in Computational Science and Engineering in 2018 at Georgia Institute of Technology. He is the recipient of the best paper award of AISTATS 2016 and NIPS 2017 workshop on Machine Learning for Molecules and Materials. His research interest lies broadly in machine learning, especially in principled (deep) machine learning methods using optimization tools for reinforcement learning and representation learning on structured data, as well as various applications.