Hello there! You have landed in my research webpage. Currently, I am Tennenbaum Early Career Assistant Professor at H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology.

I received my PhD from Eindhoven University of Technology under the guidance of Remco van der Hofstad and Johan van Leeuwaarden.
➢ My thesis on Phase Transition in Complex Networks won the Stieltjes Prize for the best PhD thesis in mathematics, published in The Netherlands. 

Previously, I was was a Schramm Fellow at MIT Mathematics and Microsoft Research. At MIT, I worked with Elchanan Mossel on foundations of Machine Learning algorithms on networks. 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. Before moving to Georgia Tech, I spent two amazing years as an assistant professor at the Edwardson School of Industrial Engineering at Purdue University.

Outside research, I love music and travelling. I play Indian Classical Music on Sarod.  

arXiv, dblp, Google scholar, ORCID

Research Interests

Broad interests: Large-scale Networks, Inference and Algorithms on Networks, Stochastic Processes, High-dimensional Probability and Statistics

Specific interests: Clustering in Networks (Spectral Algorithms, Representation Learning), Spread of Epidemics/Information, Random Graphs/Matrices, Phase Transition, Graph Limits, Non-parametric Analysis on Networks, Rare Events (Large Deviation)