Brian Karrer

Data Scientist - Core Data Science

I’m a research scientist on the Data Science team at Facebook. 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.


Statistical physics, complex networks, mathematical epidemiology, causal inference, and experimental design

Latest Publications

JMLR - February 11, 2021

The Decoupled Extended Kalman Filter for Dynamic Exponential-Family Factorization Models

Carlos A. Gómez-Uribe, Brian Karrer

NeurIPS - December 7, 2020

BOTORCH: A Framework for Efficient Monte-Carlo Bayesian Optimization

Max Balandat, Brian Karrer, Daniel Jiang, Sam Daulton, Ben Letham, Andrew Gordon Wilson, Eytan Bakshy

NeurIPS - December 7, 2020

Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees

Shali Jiang, Daniel Jiang, Max Balandat, Brian Karrer, Jacob R. Gardner, Roman Garnett

Bayesian Analysis 2018 - August 16, 2018

Constrained Bayesian Optimization with Noisy Experiments

Ben Letham, Brian Karrer, Guilherme Ottoni, Eytan Bakshy

VLDB 2017 - August 28, 2017

Social Hash Partitioner: A Scalable Distributed Hypergraph Partitioner

Igor Kabiljo, Brian Karrer, Mayank Pundir, Sergey Pupyrev, Alon Shalita

KDD - August 13, 2016

Compressing Graphs and Indexes with Recursive Graph Bisection

Laxman Dhulipala, Igor Kabiljo, Brian Karrer, Giuseppe Ottaviano, Sergey Pupyrev, Alon Shalita

NSDI - March 15, 2016

Social Hash: an Assignment Framework for Optimizing Distributed Systems Operations on Social Networks

Alon Shalita, Brian Karrer, Igor Kabiljo, Arun Sharma, Alessandro Presta, Aaron Adcock, Herald Kllapi, Michael Stumm

KDD - August 11, 2013

Graph Cluster Randomization: Network Exposure to Multiple Universes

Johan Ugander, Brian Karrer, Lars Backstrom, Jon Kleinberg

ACM (CHI) - April 27, 2013

Quantifying the Invisible Audience in Social Networks

Michael Bernstein, Eytan Bakshy, Moira Burke, Brian Karrer