Codes & Data
ML Group

Le Song

Assistant Professor

Computational Science and Engineering
College of Computing
Georgia Institute of Technology

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



I am heading the Machine Learning Group at Georgia Institute of Technology. I conduct research in statistical machine learning, with primary interests in nonparametric kernel methods, probabilistic graphical models, time series and network analysis. I am also interested in large-scale and distributed learning problems, and machine learning applications in texts, images, networks, computational biology and information rich social media.


Selected Recent Publications

Brief Biography

I studied computer science at the South China University of Technology, Guangzhou, China in 1998. After I obtained my Bachelor's degree in 2002, I traveled to Sydney, Australia. In 2004 I received my Master's degree, and in 2008 my Doctoral degree in computer science at the University of Sydney, Australia. I was also a PhD. student with the Statistical Machine Learning Program at NICTA. My thesis advisor is Alex Smola. Since Summer 2008, I was a Lane postdoc fellow at Carnegie Mellon Univeristy, working on machine learning and computational biology projects with Eric Xing, Carlos Guestrin, Geoff Gordon and Jeff Schneider. Right before I came to Georgia Tech, I spent some time as a research scientist in Fernando Pereira's group at Google Research.

Curriculum Vitae