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updated 17-Jul-09
Matthew T. Harrison
Curriculum Vitae
| Division
of Applied Mathematics Brown University Box F / 182 George St Providence, RI 02912 |
401-863-2115
(dept. office) 401-863-1355 (dept. fax) email: firstname_lastname@brown.edu www.dam.brown.edu/people/harrison/ |
Research
Interests
Statistics. Conditional inference, Multiple hypothesis testing, Sequential importance sampling
Neuroscience. Pattern detection in multi-neuronal spiking data, Exploratory data analysis
Information theory. Rate distortion theory, Model selection
Computer vision. Structured statistical models, Natural scene statistics, Perceptual organization
Academic Appointments
Brown University (July 2009 – present)
Assistant Professor, Division of Applied Mathematics
Carnegie Mellon University (September 2006 – June 2009)
Visiting Assistant Professor, Department of Statistics
Brown University (June 2005 – July 2006)
Postdoctoral research associate, Division of Applied Mathematics
Mathematical Sciences Research Institute (January - May 2005)
Postdoctoral member, Program in Mathematical, Computational and Statistical Aspects of Vision
Education
Brown University, Ph.D., Applied Mathematics (2005)
Dissertation title: Discovering compositional structures
Dissertation advisor: Stuart Geman
Brown University, Sc.M., Applied Mathematics (2000)
University of Virginia, B.A., Mathematics and Cognitive Science (1998)
Fellowships and Awards
National Defense Science and Engineering Graduate Fellowship (1998-2001)
Howard Hughes Medical Institute Predoctoral Fellowship in Biological Sciences (1998)
Jefferson Scholarship, University of Virginia (1994-1998)
Phi Beta Kappa, University of Virginia (1997)
Teaching Experience
Probability and Mathematical Statistics II (undergraduate, graduate), Carnegie Mellon University (2009)
Intermediate Statistics (graduate), Carnegie Mellon University (2007, 2008)
Probability Theory and Random Processes (undergraduate), Carnegie Mellon University (2007)
Engineering Statistics and Quality Control (undergraduate), Carnegie Mellon University (2006, 2008)
Mathematical Methods in the Brain Sciences* (mostly undergraduate), Brown University (2004, 2005)
11th grade algebra program, “The Met” High School**, Providence, RI (2005 – 2006)
Several TA experiences and numerous individual lectures in undergraduate and graduate
mathematics and statistics courses.
Professional Activities and Service
Member: AMS, ASA, IEEE, SIAM
Ad hoc reviewer for NIPS, Electronic Journal of Statistics, Entropy, IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing, Journal of Neurophysiology, Neural Computation, Neuron, PLoS Computational Biology, SIAM Journal on Imaging Sciences, CVPR (International Conference on Computer Vision and Pattern Recognition), ECCV (European Conference on Computer Vision), ISIT (IEEE International Symposium on Information Theory), ITW (IEEE Information Theory Workshop)
Presenter at the MSRI / MAA PREP (Professional Enhancement Program) Workshop on the Mathematics of Images, Berkeley, CA, March 2005 (for mathematics teachers who want to incorporate imaging science into their undergraduate courses)
Co-organizer of the weekly postdoc seminar, MSRI, Spring 2005
Organizer of the weekly Pattern Theory seminar, Brown University, 2003-2006
Undergraduate mentoring
Nan Zhang, “Estimation of the rate-distortion function”, Carnegie Mellon University, Spring 2007
Aaron DePonceau, “Multi-scale multiple hypothesis testing”, Carnegie Mellon University, Summer 2008
Daniel Frank, “Jitter-corrected cross-correlograms”, Carnegie Mellon University, Summer 2008