I am an ML/Vision researcher at Google working on problems in the intersection of biology, medicine, and machine learning. Prior to this, I was a PhD student at UT Austin working on natural language processing, and computer vision. I was a member of the Machine Learning Group, and was advised by Prof. Ray Mooney.
During my PhD I was also fortunate to work with Prof. Trevor Darrell's group at UC Berkeley and with Prof. Kate Saenko at Boston University. I spent several summers working on deep learning projects at Google Research (host: Varun Gulshan) and Google Brain (host: Andrea Frome). Prior to joining UT, I spent a year at IBM Research, India (Blue scholar).
In 2011, I obtained a Masters degree in Computer Science and Engineering from IIT, Madras. My thesis was advised by Prof. C. Pandu Rangan. In 2009, I graduated with a bachelor's degree in Information Technology from NITK, Surathkal.
I enjoy applying machine learning to visual, text, and audio data; in particular for healthcare applications. Some of my work pertains to transfer learning for bio/medical data (e.g. detecting diabetic retinopathy, breast cancer), and I have also developed methods to interpret such vision/audio models (model explanation) for medical applications. During my graduate studies, I applied natural language processing and computer vision techniques to generate descriptions of events depicted in videos and images. Please refer to my Google Scholar page for an up-to-date list of my publications.
In the past I have researched on topics in public policy, theoretical cryptography and social network analysis.