Her research lies at the intersection of theoretical computer science, game theory, and mathematical economics, and their applications to evolution, dynamical systems and learning. She has worked on computability of equilibria, both market and Nash, under various settings, and also on understanding the impact of strategic behavior in multi-agent situations. In addition she has explored learning economic parameters through revealed preferences, genetic evolution under sexual reproduction, and dynamics in social networks. She did Postdoc at Georgia Tech with Prof. Vijay V. Vazirani, and later at Simons Institute, UC Berkeley. Prior to that she did her PhD from Indian Institute of Technology, Bombay. Her thesis won ACM India Doctoral Dissertation Award 2012. In 2014, she was conferred the Best Postdoctoral Research Award by CoC at Georgia Tech.