Social Hash Partitioner: A Scalable Distributed Hypergraph Partitioner
Igor Kabiljo, Brian Karrer, Mayank Pundir, Sergey Pupyrev, Alon Shalita
I’m a Research Scientist on the Data Science team at Meta. I received a PhD in physics from University of Michigan and a BA in mathematics and physics from Kenyon College. My current research involves building causal models of user behavior, applying distributed optimization to improve infrastructure systems, and developing experimentation methods for networked environments.
Interests
Statistical physics, complex networks, mathematical epidemiology, causal inference, and experimental design
Areas
Latest Publications
VLDB 2017 - 2017
Compressing Graphs and Indexes with Recursive Graph Bisection
Laxman Dhulipala, Igor Kabiljo, Brian Karrer, Giuseppe Ottaviano, Sergey Pupyrev, Alon Shalita
Regression Adjustment with Synthetic Controls in Online Experiments
Congshan Zhang, Dominic Coey, Matt Goldman, Brian Karrer
Network Experimentation at Scale
Brian Karrer, Liang Shi, Monica Bhole, Matt Goldman, Tyrone Palmer, Charlie Gelman, Mikael Konutgan, Feng Sun
The Decoupled Extended Kalman Filter for Dynamic Exponential-Family Factorization Models
Carlos A. Gómez-Uribe, Brian Karrer
Quantifying the Invisible Audience in Social Networks
Michael Bernstein, Eytan Bakshy, Moira Burke, Brian Karrer
