I am a postdoctoral research fellow with joint appointment at Massachusetts General Hospital and Harvard Medical School, Boston, working on digital phenotyping for mapping psychological states.
I received my PhD from the Department of Computer Science and Engineering at the University of Notre Dame in September 2021.
My doctoral thesis focussed on on various aspects of vision - especially object recognition, starting at the granular level (single unit retinal ganglion cell response) to understand the interplay between different
sensory stimuli (more specifically olfactory stimulus) and how it effects visual functions, to high level features learned from deep convolutional networks in order to detect and classify objects of interest in less
than ideal circumstances such as aerial videos taken by UAVs and gliders. Such videos have objects at different scales and with a number of imaging artifacts (such as motion blur, lens glare, different weather
conditions) that make recognition a lot harder.
Prior to this, I worked on cell segmentation in noisy data.
Before joining Notre Dame in 2015, I worked as an software engineer for Cognizant Technology Solutions in Kolkata, India, after graduating with a B.Tech degree in Information Technology from West Bengal University of Technology in 2010.
In Summer 2019, I worked as a research intern at the Computer Vision and Technology group at SRI International. My work involved high dynamic range (HDR) imaging and detection of fast moving objects in a scene and simultaneously correcting images for automatic interpretation.