Le Song

Assistant Professor, College of Computing

The Song lab is engaged with 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. Current cancer related research involves understanding changes in network relationships between genes in cancer cells.