Short Bio

Jan Glaubitz is a Postdoctoral Associate at the Massachusetts Institute of Technology, collaborating with Professor Youssef Marzouk. He is affiliated with the Department of Aeronautics and Astronautics (AeroAstro) and the Laboratory for Information and Decision Systems (LIDS).

His research aims to advance the foundational computational methodologies in numerical conservation laws and hierarchical Bayesian learning. Passionate about the interplay between theoretical numerical analysis, method development, and uncertainty quantification, he strives to establish provable approximation, convergence, and stability results while quantifying confidence in computational predictions.

Before joining MIT, Jan Glaubitz held positions as a Lecturer and Research Associate in the Department of Mathematics at Dartmouth College from 2020 to 2023, where he collaborated with Professor Anne Gelb. He earned his Dr. rer. nat. in Mathematics under the guidance of Professor Thomas Sonar from the Technical University Braunschweig, Germany, in December 2019. His doctoral research focused on high-order numerical methods and shock-capturing techniques for hyperbolic conservation laws.