Hello!
I am a Ph.D. candidate in the Informatics department at Indiana University, Bloomington, specializing in the Complex Networks and Systems track. Under the guidance of Prof. Filippo Radicchi and Prof. Santo Fortunato, my research revolves around multiplex networks and their application to real-world complex systems. Starting Fall 2024, I will be a postdoctoral fellow at the Kellogg School of Business at Northwestern University with Prof. Dashun Wang.
Before my doctoral journey, I completed both my Bachelor's and Master's degrees in Mathematics at the Indian Institute of Science Education and Research (IISER) in Kolkata, India. During my time at IISER Kolkata, I had the privilege of working with Prof. Prasanta Panigrahi, where I had the opportunity to explore various research fields.
Besides science, I devote a significant portion of my time to table tennis, honing my skills and enjoying the competitive spirit it brings. Please visit the About me section to learn more about this!
Research highlight: Epidemic spreading in group-structured populations (PRX 2023)
Recurrent contacts among individuals in common groups and settings are known to mediate the spread of an infectious disease. However, it is not obvious how the properties of the spreading process are determined by the structure of and the interrelation among the group settings. Here, we show that, if the goal is preventing disease spreading within a population of college students, having a strong and correlated group structure is more desirable than one that is weak or uncorrelated. When groups are neat and correlated, there is in fact not only more time to intervene but also higher chances of success for interventions aimed at suppressing disease spreading.
Our findings were covered by the Physics Magazine and Luddy SICE news!