Harvard Catalyst Profiles

My research interests lie in the areas of signal and image-processing, statistics, control theory, computer vision and related applications. Of particular interest to me is the application of mathematics, statistics and control theory to solve problems in medical imaging and computer vision.

My research interests lie in developing smart imaging techniques to understand brain structure and function. My team has developed several compressed sensing algorithms for fast imaging of diffusion MRI — a technology that is now being used to obtain advanced MRI scans of children with ADHD (Attention-deficit Hyperactivity Disorder). My current research focus is on 1). Ultra-high resolution diffusion imaging combining acquisition and reconstruction, 2). estimating tissue microstructure from biophysical and stochastic models of diffusion, and 3). time-series analysis for understanding functional connectivity using fMRI, EEG or MEG data. Clinical research focus includes using and developing sophisticated tractography algorithms for precise targeting of deep-brain stimulation (DBS) and transcranial magnetic stimulation (TMS) in obsessive compulsive disorder (OCD), Parkinson’s and major depressive disorder (MDD). My broad research focus is in the areas of signal and image-processing, statistics, control theory, machine learning, computer vision and related applications to solve inverse problems in medical imaging.