I'm a postdoctoral researcher in Sebastian Seung's Lab in the MIT Department of Brain and Cognitive Sciences. My main research interest is in applying sparse coding and statistical learning algorithms to visual recognition and other inference problems, such as image reconstruction, imagination, and top-down expecatation-driven segementation. We have developed hierarchical, biologically-motivated dynamic networks for visual inference tasks.

Currently, we're working on a project to segment, recognize and reconstruct the 3d nanostructure of neurons using electron microscope images.

In general, I'm interested in applying machine learning methods to challenging real-world problems. Examples include predicting failures in hard drives using nonparametric statistical tests, support vector machines (SVMs) and unsupervised clustering. I've also done work at the Scripps Institution of Oceanography (SIO) studying statistical patterns in the long-term tide record and wave modeling.

Resume (pdf, 1 page)
Academic CV (pdf, 3 pages)

I can be reached at:

Office:

43 Vassar St.
Building 46, Room 5065-C
(617) 324-3747
Fax: (617) 452-2913

Home:

761 Harrison Ave Apt 504
Boston MA 02118
(858) 344-3329

Email (either works fine):