About

Tuo Zhao is an associate professor in the H. Milton Stewart School of Industrial and Systems Engineering and the school of Computational Science and Engineering (By Courtesy) at Georgia Tech.

His research focuses on developing principled methodologies and algorithms for large language models. He is also actively working on deep learning theory and open source software development for scientific computing. 

Tuo Zhao received his Ph.D. degree in Computer Science at Johns Hopkins University. He was a visiting scholar in the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health, and the Department of Operations Research and Financial Engineering at Princeton University.

He was the core member of the JHU team winning the INDI ADHD 200 global competition on fMRI imaging-based diagnosis classification. He received the Siebel scholarship, the Baidu Fellowship  and Google Faculty Research Award. He was the co-recipient of the ASA Best Student Paper Award on Statistical Computing and the 2016 INFORMS SAS Best Paper Award on Data Mining.