Photo by Collin M. Gould

Tim Marrinan

Postdoctoral Research Associate
Department of Mathematics and Operational Research
Université de Mons

Education and Professional Experience

2017-2019: Research Associate (Signal and System Theory Group, Universität Paderborn)
2013-2017: PhD in Mathematics (Pattern Analysis Lab, Colorado State University)
2010-2013: MS in Mathematics (Pattern Analysis Lab, Colorado State University)
2004-2008: BA in Applied Math and Geology (Whitman College)

Research Overview

My primary research interest is in applying geometric data analysis to statistical signal processing and pattern recognition problems. I have developed theory and created practical tools that leverage Riemannian geometry for applications such as hyperspectral image analysis, face recognition, unsupervised action recognition, and direction-of-arrival estimation in beamforming. Currently I am investigating multi-set canonical correlation analysis with small sample support and applications of Schubert variety constrained optimization. Please see the research page for more details.

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