June Cocomello-Hayes

June Cocomello-Hayes is an Assistant Professor of Mathematics at Bucknell University, where she is a member of the Department of Mathematics and Statistics. Her primary research area is probability theory, with a focus on interacting stochastic processes on sparse and heterogeneous random networks. She applies these methods to model biological and social systems, including epidemiology, neuroscience, and opinion dynamics.

Education

• PhD in Applied Mathematics, Brown University
• M.S. and B.A. in Mathematics, New York University

Dr. Cocomello-Hayes' research integrates techniques from probability theory, dynamical systems, statistical physics, graphical models, and network science. She seeks mathematically rigorous explanations for how global behaviors arise from local interactions in networked systems. Her recent work includes the analysis of SIR and SEIR epidemic models on large sparse networks, demonstrating how network structure influences global epidemic dynamics.

She is also affiliated with the Institute for the Quantitative Study of Inclusion, Diversity, and Equity (QSIDE), where she contributes to the Pharmacy Refusal Lab project investigating prescription refusal patterns and their societal impacts.

In teaching, Dr. Cocomello-Hayes emphasizes active student engagement and community-centered learning. She has taught Calculus II at Bucknell and designed a pre-college network science course at Brown University, focusing on making complex mathematical concepts accessible through real-world applications.