35 Olden Street
Princeton, NJ 08540, USA
I'm at the Statistical Learning at Princeton Group and the
S* Network Systems Group
(SNS) in the Computer Science Dept.
I'm advised by Prof. David Blei and Prof. Mike Freedman.
I'm a fourth-year PhD student. I joined Princeton after several years at Mazu Networks (acquired by Riverbed Technology). I received my M.S. in Computer Science from Purdue University.
In my research, I develop probabilistic graphical models and inference
algorithms to learn latent structures in massive networks.
For publications, please see my CV or google scholar.
Early in my PhD, I worked
Shue and the rest of the Serval team to build the first version of
an end-host stack for a service-centric network architecture.
COS 318, Operating Systems, Prof. Andy Bavier, Fall 2010
COS 461, Computer Networks, Prof. Michael Freedman, Spring 2010
COS 441, Programming Languages, Prof. Andrew Appel, Fall 2009
COS 518, Advanced Operating Systems, Prof. Michael Freedman, Fall 2009
COS 423, Theory of Algorithms, Prof. Robert Tarjan, Spring 2010
COS 451, Computational Geometry, Prof. Bernard Chazelle, Spring 2010
COS 513, Foundations of Probabilistic Modeling, Prof. David Blei, Fall 2010
COS 561, Advanced Computer Networks, Prof. Jennifer Rexford, Fall 2010
COS 597B, Future Datacenter Networks and Systems, Prof. Michael Freedman, Fall 2010
COS 597C, Advanced Methods in Probabilistic Modeling, Prof. David Blei, Fall 2011
At Mazu, I did the research, design and development of the following projects: