Page Title

https://engineering.wustl.edu/Profiles/Pages/Roman-Garnett.aspx

Roman Garnett

Assistant Professor

Roman Garnett - Computer Science ＆ Engineering - Researches new Bayesian machine-learning techniques

PhD, University of Oxford, 2010<br/>MS, Washington University in St. Louis, 2004<br/>AB, Washington University in St. Louis, 2004 <div> <br/> </div><p> <a href="https://scholar.google.com/citations?user=CUkAtC4AAAAJ&hl=en"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p>

https://sites.wustl.edu/machinelearning/

<p>Assistant Professor</p>

<h3>Research</h3> 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.<div><h3>Biography</h3><p>Professor Garnett came to WashU in January 2015.</p></div>

<p>314-935-4992<br/><a href="mailto:scg@wustl.edu"><span><span></span></span></a><a href="mailto:%E2%80%8Bgarnett@wustl.edu%E2%80%8B">garnett@wustl.edu</a><br/>Jolley Hall, Room 504<br/></p>

<ul><li><a href="/news/Pages/WashU-computer-scientists-part-of-$8M-big-data-research-grant.aspx" style="background-color: #ffffff;">WashU computer scientists part of $8M big data research grant</a><br/></li></ul>