Tristan Buckmaster

Tristan Buckmaster is a Professor of Mathematics at the University of Maryland, appointed in July 2022. Previously, he served as Assistant Professor at Princeton University and Courant Instructor at New York University's Courant Institute of Mathematical Sciences, following his 2014 PhD at the International Max Planck Research School (IMPRS).

His doctoral research at the Max Planck Institute for Mathematics in the Natural Sciences focused on the Onsager Conjecture, defended with summa cum laude. Academic trajectory includes a sabbatical at Princeton's Institute for Advanced Study.

Buckmaster specializes in partial differential equations with groundbreaking work on Navier-Stokes equations, proving non-uniqueness of weak solutions that earned the 2019 Clay Research Award. His research spans wave turbulence theory development and current investigations into singularity formation in liquids using machine learning, establishing new mathematical approaches to century-old fluid dynamics problems.

He received the Clay Research Award (2019) for transformative contributions to partial differential equations, particularly resolving aspects of the Onsager Conjecture through his doctoral and postdoctoral work.

Buckmaster leads a major Simons Foundation-funded international collaboration on wave turbulence, merging mathematical rigor with physics. His recent machine learning applications in fluid dynamics, featured in Quanta Magazine and associated podcasts, demonstrate interdisciplinary innovation in solving fundamental liquid flow problems.