| https://engineering.wustl.edu/Profiles/Pages/Roman-Garnett.aspx | 96 | Roman Garnett | <img alt="" src="/Profiles/PublishingImages/Garnett_Roman.jpg?RenditionID=6" style="BORDER:0px solid;" /> | 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
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</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><br/></p>
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<strong>Affiliations</strong><br/></p><ul style="text-align: left;"><li>
<a href="https://datasciences.wustl.edu/" style="font-size: 0.9em;">Division of Computational & Data Sciences</a><br/></li></ul> | https://sites.wustl.edu/machinelearning/ | <p>Assistant Professor</p> | <h3>Research</h3><p>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.
</p><h3>Biography</h3><p>Professor Garnett came to WashU in January 2015.</p>
| <img alt="" src="/Profiles/ResearchImages/Garnett_research.jpg?RenditionID=13" style="BORDER:0px solid;" /> | <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> | | <div class="ms-rtestate-read ms-rte-wpbox" contenteditable="false"><div class="ms-rtestate-notify ms-rtestate-read fa907774-d987-49f3-b056-4efc2fc0e656" id="div_fa907774-d987-49f3-b056-4efc2fc0e656" unselectable="on"></div><div id="vid_fa907774-d987-49f3-b056-4efc2fc0e656" unselectable="on" style="display: none;"></div></div><ul style="margin-top: -10px;"><li>
<a href="/news/Pages/WashU-computer-scientists-part-of-$8M-big-data-research-grant.aspx">WashU computer scientists part of $8M big data research grant</a><br/></li></ul> | | |