I am a Ph.D. candidate in the department of Electrical Engineering and Computer Science (EECS) at MIT. I work in the Medical Vision Group under the supervision of Prof. Polina Golland.

My research explores generative models of brain connectivity. Traditional imaging has focused on localized properties of the brain, such as tissue characteristics and peaks of functional activation. In contrast, brain connectivity analyzes the interaction between regions. Such relationships inform us about patterns of neural communication as well as the structural and functional organization of the brain.

I am working on two challenging problems within the field: (1) multi-modal analysis of functional Magnetic Resonance Imaging (fMRI) and Diffusion Weighted Imaging (DWI) data to explore the structural-functional relationship in the brain, and (2) using connectivity information to find impairments caused by a neurological disorder. I use a probabilistic graphical model in each case.

I earned a B.S. in Electrical Engineering from MIT in 2006. In 2007, I completed my M.Eng. in Electrical Engineering at MIT under the supervision of Prof. Alan V. Oppenheim. My thesis focused on signal approximation using an anti-aliasing frequency warping.