Professional AssociationsProfessional Associations: IEEE | IEEE Signal Processing Society | New York Academy of Science
more informationMore information: LinkedIn | Google Scholar | Webpage@CMU | Math Genealogy
I am a Research Staff Member in AI Algorithms at the MIT-IBM Watson AI Lab, IBM Research, Cambridge MA. I am also a Research Affiliate at MIT, co-leading IBM's engagement in the Bridge pillar of MIT Quest for Intelligence. I serve as the Co-Chair of the AI Learning Professional Interest Community (PIC) at IBM Research.
My research interests are in distributed learning over multi-agent networks, dynamical systems, multi-agent reinforcement learning, accelerated & adaptive optimization methods, and online learning in non-stationary environments – broadly in the areas of AI, machine learning, and statistical signal processing with applications in healthcare and shared prosperity. Before moving to Cambridge, I was a Research Scientist in AI for Healthcare at IBM T.J. Watson Research Center, New York. Therein, I have developed signal processing and machine learning based predictive algorithms for a broad variety of biomedical and healthcare applications.
I received PhD and MS degrees in Electrical and Computer Engineering from Carnegie Mellon University in 2016 and 2014, respectively. My dissertation research was in distributed filtering and prediction of time-varying random fields and I was advised by Prof. José M. F. Moura. I completed my Bachelors (B.Tech.) degree in Electronics & Electrical Communication Engineering from Indian Institute of Technology Kharagpur in 2011. During the summers of 2009, 2010 and 2015, I was an intern at Ulm University (Germany), Gwangju Institute of Science & Technology (South Korea), and, Bosch Research (Palo Alto, CA), respectively.