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.

I am working on multimodal analysis of functional Magnetic Resonance Imaging (fMRI) and Diffusion Weighted Imaging (DWI) data to explore the structural-functional relationship in the brain. My current research employs a probabilistic graphical model to combine fMRI and DWI.

I am also interested in using functional connectivity measures from resting-state fMRI data to predict the effects of neuro-psychiatric diseases such as schizophrenia and social anxiety disorder (SAD).

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.