Codes & Data
ML Group
ML Seminar

Le Song

Associate Professor
Computational Science and Engineering
College of Computing
Georgia Institute of Technology

Associate Director
Center for Machine Learning
Georgia Institute of Technology

1340 Klaus Building
266 Ferst Drive
Atlanta, GA 30332, USA


Curriculum Vitae


I am heading the Machine Learning Group at Georgia Institute of Technology.

My principal research interests lie in the development of efficient algorithms and intelligent systems which can learn from a massive volume of complex (high dimensional, nonlinear, multi-modal, skewed, and structured) data arising from both artificial and natural systems, reveal trends and patterns too subtle for humans to detect, and automate decision making processes in uncertain and dynamic possible world. I develop core machine learning methodology, including kernel methods, feature space embedding methods, graphical models, probabilistic and stochastic modeling, scalable algorithms, optimization algorithms and deep learning models.

I am also interested in developing machine learning models and algorithms to address interdisciplinary problems. For instance, I've conducted research on the management of information diffusion networks and recommendation systems, the discovery of time-varying gene regulatory networks, the understanding of disease progression, the extraction of topics based on online document feeds, the prediction of materials properties, and the predictive modeling of robotic systems.

My research work center around four major themes (more information here link):

Tutorials and Workshops

Selected Recent Publications

Representative Talks

Brief Biography

I obtained B.S. degree in computer science from the South China University of Technology, Guangzhou, China in 2002. After that, I received my Master's degree in 2004, and Ph.D. degree in 2008 both in computer science from the University of Sydney, Australia. I was also a Ph.D. student with the Statistical Machine Learning Program at NICTA, and my thesis advisor is Alex Smola. Since Summer 2008, I was a postdoc fellow at Carnegie Mellon Univeristy, working on machine learning and computational biology projects with Eric Xing, Carlos Guestrin, Geff Gordon and Jeff Schneider. Right before I joined Georgia Tech, I spent some time as a research scientist at Fernando Pereira's group at Google Research.