I am a computational social scientist with a Ph.D. in Communication from the Annenberg School for Communication at the University of Pennsylvania. Prior to my doctoral studies, I graduated with a Bachelor of Engineering in Computer Science, and a Master of Science in Mathematics from BITS Pilani, India, and spent a couple of years in the industry working in software and data analytics.

I situate my research at the intersection of digital media and online human behaviour, drawing from a wide repertoire of computational methods that blend observational as well as experimental approaches – such as network analysis, statistical inference, and agent-based simulations to understand how digital audiences navigate online media environments. In the past, I have also worked at the Berkman Klein Center for Internet & Society at Harvard University, and the Reuters Institute for the Study of Journalism at the University of Oxford. My research has appeared in social science and communication journals such as Journal of Communication, Political Communication, The International Journal of Press/Politics as well as interdisciplinary venues such as Social Networks and Nature Scientific Reports. My research has been featured in international media such as The Washington Post, LaPresse, Nieman Journalism Blog, The Indian Express and The Print.

If you are a student who is interested in working with me on quantitative/computational research projects on topics such as digital media audiences, media effects, social media, or social networks, drop me an email at mukerjee [at] nus [dot] edu [dot] sg.

At CNM, in addition to my research, I develop and teache quantitative and computational modules for undergraduates, masters students, and PhD students. I am also the lead organiser of the Singapore chapter of the Summer Institutes in Computational Social Science - the first such chapter in South East Asia.

In my spare time, I love to read, listen to podcasts, and watch English football.