Jonathan Niles-Weed

About the Author

Jonathan Niles-Weed is a distinguished mathematician and researcher specializing in probability theory and optimal transport, with a focus on bridging theoretical foundations and practical applications in statistics. He earned his PhD from Columbia University and currently holds a position as an assistant professor at New York University, where he teaches advanced courses in stochastic processes and optimization. Niles-Weed's work has significantly advanced the understanding of statistical optimal transport, earning him recognition from prestigious institutions like the École d'Été de Probabilités de Saint-Flour. His research publications appear in top journals, and he is a sought-after collaborator in interdisciplinary projects involving machine learning and data science. Beyond academia, Niles-Weed contributes to open-source initiatives and mentors emerging scholars in quantitative fields.