I am a Postdoctoral Scientist at Johnson & Johnson. My current research focuses on developing deep learning methods for computational analysis of skin and facial appearance. I graduated with a PhD degree from Computer Vision Lab at Rutgers University where I was advised by Prof. Kristin J. Dana. My PhD thesis focuses on developing computational skin texture models with applications in quantitative dermatology. I am recipient of a Google Anita Borg Scholarship (2016).
For my Masters, I developed computational methods to analyze radar images to detect deterioration in steel rods embedded within the concrete images. This work was developed for Robotic Assessment Bridge Inspection Tool which was selected by the American Society of Civil Engineers (ASCE) for the 2014 Charles Pankow National Award for Innovation.
I have worked as an intern at SRI International for two summers where I used deep learning for image classification and object localization. I have also interned at Broadcom Corporation where I worked on video stabilization for HDTVs. Before starting my graduate studies, I worked for two years as a software engineer with Robert Bosch Engineering and Business Solutions Ltd.