Antonio De Rosa

Antonio De Rosa is an Associate Professor in the Department of Decision Sciences at Bocconi University, Italy. Previously, he held positions at the University of Maryland, College Park (2020–2024), and the Courant Institute of Mathematical Sciences, New York University (2017–2020). He earned his Ph.D. in Mathematics from the University of Zurich in 2017 under Camillo De Lellis and Guido De Philippis.

• Education: Ph.D. in Mathematics, University of Zurich (2017).

His research spans Geometric Analysis, Partial Differential Equations, Calculus of Variations, Geometric Measure Theory, Optimal Transport, and Non-convex Optimization. Recent work focuses on anisotropic geometric variational problems, including existence, regularity, and uniqueness of anisotropic minimal surfaces and CMC (constant mean curvature) surfaces. He has also contributed to interdisciplinary applications in Explainable Risk Assessment and Data Analysis.

The 15 most recent articles highlight advancements in anisotropic surfaces, min-max theory, optimal transport, and mathematical programming (e.g., K-means clustering, linear programming). Key trends include the intersection of geometric measure theory with nonlinear PDEs and applications in machine learning and transportation networks.

Scientific Awards and Grants:

• 2023 Maryland Research Excellence
• Carlo Ciliberto Prize (2019)
• ERC Starting Grant ANGEVA (101076411, 2023–2028)
• Air Force Office of Scientific Research (AFOSR) grant (FA9550-23-1-0123)
• NSF CAREER Award (DMS-2143124)
• NSF DMS Awards (DMS-1906451, DMS-2112311)
• AMS Simons Travel Grant

Antonio actively supervises research and teaches courses such as Optimization and Introduction to Partial Differential Equations. His work is supported by significant funding totaling approximately €3 million.