I am Assistant Professor of Computer Science at Stanford University.
My research focuses on mining and modeling large social and information networks, their evolution, and diffusion of information and influence over them. Problems I investigate are motivated by large scale data, the Web and on-line media.
I am also Chief Scientists at Pinterest, where I am focusing on machine learning problems. I co-founded of a machine learning startup Kosei, which was acquired by Pinterest.
- Improving Website Hyperlink Structure Using Server Logs
- Information Cartography,
- Network Lasso: Clustering and Optimization in Large Graphs,
- SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity,
- Inferring Networks of Substitutable and Complementary Products
- Ringo: Interactive Graph Analytics on Big-Memory Machines,
SIGMOD 2015. Best demonstration award.
- Antisocial Behavior in Online Discussion Communities,
AAAI ICWSM, 2015. Best paper award honorable mention.
- Geospatial Structure of a Planetary-Scale Social Network,
IEEE TCSS, 2015.
- Donor Retention in Online Crowdfunding Communities: A Case Study of DonorsChoose.org,
- Mining Missing Hyperlinks from Human Navigation Traces: A Case Study of Wikipedia,
- QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns,
- Global Diffusion via Cascading Invitations: Structure, Growth, and Homophily
- Tensor Spectral Clustering for Partitioning Higher-order Network Structures, SDM, 2015.
- A Bayesian Framework for Modeling Human Evaluations, SDM, 2015.