As a Postdoctoral Associate at Duke University working in the lab of Michael Zavlanos, I lead efforts in the development of new theories, algorithms, and software for the analysis of networked autonomous systems, including the development of relevant data-driven and machine learning techniques. I interact with and supervise graduate and undergraduate students in our group working on relevant research topics.

My other research interests geometric/topological deep learning, lattice theory and applied topology.