I aim to advance foundational computational methodologies in Bayesian Scientific Computing, specifically at the intersection of numerical analysis, inverse problems, and uncertainty quantification. I strive to establish provable approximation, convergence, and stability results while quantifying the confidence in computational predictions.
Before joining Linköping University, I held postdoctoral positions at the Massachusetts Institute of Technology, where I was part of Youssef Marzouk’s UQ Group, and Dartmouth College, where I was supervised by Anne Gelb. I earned my PhD in Mathematics under the guidance of Thomas Sonar from the Technical University Braunschweig. My doctoral research focused on high-order numerical methods and shock-capturing techniques for hyperbolic conservation laws. (By now, I combine this with inverse problems, data assimilation, and uncertainty quantification.)
Before joining Linköping University, I held postdoctoral positions at the Massachusetts Institute of Technology, where I was part of Youssef Marzouk’s UQ Group, and Dartmouth College, where I was supervised by Anne Gelb. I earned my PhD in Mathematics under the guidance of Thomas Sonar from the Technical University Braunschweig. My doctoral research focused on high-order numerical methods and shock-capturing techniques for hyperbolic conservation laws. (By now, I combine this with inverse problems, data assimilation, and uncertainty quantification.)