Hello, my name is Connor and I am currently working as a Postdoctoral Fellow at Brandeis University 

My research is focused on bridging the gap between theory and applications in dynamical systems. This has included designing a neural network to perform disease modeling in a limited information regime and the forecasting of chaotic dynamical systems in a novel, data-driven way. I am particularly interested in the analysis of chaotic systems, using tools such as symbolic dynamics to better understand them.

The research I conduct is significantly interdisciplinary, with tools from analysis, probability, and computer science being applied to problems of epidemiology, neurology, and physics. The goal is to create work that both builds rigorous understanding of applied methods, as well as finding new applications for existing theoretical results.

My teaching focuses on gradually introducing students to more theoretical perspectives on mathematics, learning how to combine concepts into basic proofs and learning how to connect the material in their courses to wider applications. 

My research has been published in the journals Viruses (For their special issue on Covid-19 research), Chaos, and Neural Networks.

PhD - University of Massachusetts Amherst