I am currently an assistant professor in the department of Computer Science and Engineering at Indian Institute of Technology (IIT) Delhi. Prior to joining IIT Delhi, I spent around two and half years at the Max Planck Institute for Software Systems (MPI-SWS) as a post-doctoral researcher. I obtained PhD from Indian Institute of Technology (IIT) Kharagpur, where I was jointly advised by Prof. Niloy Ganguly from IIT Kharagpur and Prof. Krishna Gummadi from MPI-SWS. During PhD, I was awarded the prestigious Prime Minister's Fellowship for Doctoral Research and Google India PhD Fellowship. Prior to that, I have worked at Microsoft Research India for two years.

My research interests fall under the broad theme of Computing and Society, spanning the research areas of Social Computing, Information Retrieval, Computational Journalism and Fairness in Algorithmic Decision Making. The problems I study usually have two distinct aspects: an algorithmic aspect and a societal aspect. A common thread in my research lies in collecting and analyzing large scale data from online systems to understand whether there is any cause for concern, and then develop mechanisms to eliminate or reduce the impact. My research agenda is inherently interdisciplinary, and therefore, the tools and theories that I often use in my works come from machine learning, network science, media studies, computational social choice, social welfare and behavioral economics.