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Jan Glaubitz is an Assistant Professor in the Scientific Computing Division within the Department of Mathematics at Linköping University, Sweden. His research interests lie in Bayesian Scientific Computing, focusing on the intersection of numerical analysis, inverse problems, and uncertainty quantification. He aims to advance foundational computational methodologies, establishing provable results regarding approximation, convergence, and stability in relation to quantifying confidence in computational predictions. Prior to his current role, he held postdoctoral positions at the Massachusetts Institute of Technology within the Aeronautics and Astronautics Department, where he was part of Youssef Marzouk's Uncertainty Quantification Group, and at Dartmouth College under the supervision of Anne Gelb. Jan received his PhD in Mathematics from the Technical University of Braunschweig, Germany, where his doctoral research concentrated on high-order numerical methods and shock-capturing techniques for hyperbolic conservation laws. He integrates inverse problems, data assimilation, and uncertainty quantification into his research.
Department of Aeronautics and Astronautics, Massachusetts Institute of Technology • USA
Department of Mathematics, Dartmouth College • USA
Department of Mathematics, Linköping University • Sweden
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