My research interests broadly include topics in machine learning and game theory. In machine learning, my interests span optimization methods for machine learning problems, distributed algorithms and online learning. My other interests lie in games on networks and distributed agent based models. My advisors are Dana Nau and Tom Goldstein. I also collaborate with Michele Gelfand for my work on building game theoretic models for better understanding human behavior in different cultures. In the summer of 2014, I interned at the IBM Almaden Research Center in California.

Before joining the University of Maryland in September 2013, I completed my undergraduate education at Jadavpur University, Kolkata, India in May 2013. I spent the summer of 2012 at the Toyota Technological Institute at Chicago working with Karen Livescu. During my undergraduate years, I also had the opportunity to briefly work with Bhiksha Raj and Rita Singh at Carnegie Mellon University.