Ph.D Candidate in Statistics and Neural Computation
Carnegie Mellon University
My general research interests are in developing and evaluating methodology for the analysis of high dimensional neural imaging data sets. There are many ways of recording neural activity, but to use these recordings to learn about the brain we must summarize and evaluate the data in intelligent ways. Many imaging technologies output high dimensional, highly noisy data in large quantities. The quantity of imaging data available is outpacing our understanding of the data we have. I hope to increase the amount of knowledge we can glean from the expensive and time consuming experimental work being done by neuroscientists.
I am currently working with Dr. William Eddy and Dr. Seong-Gi Kim to develop techniques for extracting neural activity from two-photon calcium imaging. In the past I worked on identifying and describing spatio-temporal patterns of activity recorded by multi-electrode arrays. I have also worked on identifying noise sources in Magnetoencephalography (MEG).
My current work addresses the processing of in-vivo two-photon calcium imaging. To address the lack of existing tools and documentation for processing this type of data, I have created a community wiki CaliCode.org. If you are interested in calcium imaging, please take a look and feel free to contribute.