Avanti Athreya

Avanti Athreya is an Associate Research Professor at the Department of Applied Mathematics and Statistics, Johns Hopkins University, within the Whiting School of Engineering. Her research focuses on probability, stochastic processes, and network inference methodologies. She holds a BS from Iowa State University (1997), an MS from the University of Washington (2000), and a PhD from the University of Maryland College Park (2009).

Her work emphasizes spectral analysis of random matrices, stochastic blockmodel graphs, and dynamic network inference. Recent publications explore Gaussian mixture models for language networks, mirror distance-based clustering, and change-point detection in organoid networks. She develops algorithms for community detection, anomaly identification, and geometric approaches to network dynamics.

Key research trends include advancing methodologies for analyzing time-series networks, integrating vertex covariates into spectral algorithms, and applying Euclidean geometric principles to network structures. Her contributions bridge theoretical probability frameworks with practical applications in biology and machine learning.