Souvik Dhara

Currently, I am an Assistant Professor at the School of Industrial Engineering (primary) and Department of Mathematics (by courtesy) at Purdue University.

My research interest lies at the intersection of applied probability and large-scale networks. I am interested in two broad questions:
➢ Can we find hidden patterns in networks?
➢ Do microscopic properties govern the macroscopic behavior of networks?

Previously, I was a Schramm Fellow at MIT Mathematics and Microsoft Research.

At MIT, I worked with Elchanan Mossel on foundations of Machine Learning algorithms on network data.
➢ Here is the link to a 10-min talk on our recent results on this topic.

At Microsoft Research, I worked with Christian Borgs and Jennifer Chayes on Graphons (limits of large networks) and their applications to Non-parametric Statistics and the study of Rare Events.

I also spent the Fall 2022 semester as a Simons-Berkeley Fellow at the Simons Institute at UC Berkeley, at and spent Spring 2023 as a Postdoctoral research associate at Brown University working with Kavita Ramanan.