People > Postdoctoral Fellows
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Mohamed Ali Belabbas
Homepage | belabbas {at} seas.harvard.edu
Mohamed-Ali Belabbas received undergraduate degrees in 2001 in Electrical
Engineering and Applied Mathematics from the Universite Catholique de
Louvain and the Ecole Centrale Paris with highest honors. He earned his
PhD in Applied Mathematics from Harvard University in 2006 and is
currently working as a postdoctoral fellow. His research interests cover many areas of applied mathematics and engineering, with an emphasis on
control theory, statistical signal processing and neuroscience. His thesis work,
done with Prof. Brockett, investigated the relationship
between control theory and the theory of completely integrable systems
with applications to the design of neural transmission lines.
Since joining the group of Prof. Wolfe, he is working on new and exciting
topics such as low complexity algorithms for statistical signal
processing and random walks on groups and manifolds. |
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David Choi
dave.s.choi {at} gmail.com
David's current research interests are applied probability and algorithms on random graphs. Prior to his current position, he worked at MIT Lincoln Laboratory on problems in tracking and classification. He received a BS (1998), MS (1999), and PhD (2004) at Stanford University. His thesis work was in approximate dynamic programming, under Benjamin Van Roy. |
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Patrick Perry
Patrick completed his undergraduate and graduate work at Stanford University, obtaining a B.S. in Mathematics in 2003, an M.S. in Electrical Engineering in 2004, and a Ph.D. in Statistics in 2009. For his dissertation he worked with Art Owen, studying applications of cross-validation to unsupervised learning. He specifically focused on choosing how many principal components to keep. Currently, Patrick is interested in inference for network data, random matrix theory, and statistical computing. |
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Christopher M. White
Christopher M. White is a postdoctoral fellow in the Statistical and Information Sciences Laboratory at Harvard University. He earned his M.S. and Ph.D. in Electrical Engineering from Johns Hopkins University as a Department of Homeland Security Graduate Fellow and as a Graduate Fellow in the Human Language Technology Center of Excellence, where he remains a Senior Research Scientist. He received a B.S. in Electrical Engineering from Oklahoma State University with minors in Mathematics and French. He has held visiting positions at Microsoft Research and at M.I.T.'s Lincoln Laboratory. He has collaborated with IBM Research and Google Research. His research interests include machine learning and statistical methods for large data sets with application to human language technology. |
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