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314-935-4992
garnett@wustl.edu
Jolley Hall, Room 504

PhD, University of Oxford, 2010
MS, Washington University in St. Louis, 2004
AB, Washington University in St. Louis, 2004

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Roman Garnett

Assistant Professor

Research

Professor Garnett's main research interest is developing new Bayesian machine-learning techniques for sequential decision making under uncertainty. He is particularly interested in active learning—especially with atypical objectives—Bayesian optimization, intelligent approaches to approximate Bayesian inference, and Bayesian quadrature. He is also interested in learning problems involving large-scale graph data.

Biography

Professor Garnett came to WashU in January 2015.

Researches​ new Bayesian machine-learning techniques

In the News

 

 

Machine learning used for helping farmers select optimal products suited for their operationhttps://engineering.wustl.edu/news/Pages/Machine-learning-used-for-helping-farmers-select-optimal-products-suited-for-their-operation.aspxMachine learning used for helping farmers select optimal products suited for their operation