I am a postdoctoral researcher at the University of Luxembourg. Currently, I am working on developing machine learning and reduced-order modeling frameworks for wind engineering and CFD problems.
I was an MSCA fellow at the institute of mathematics at the Technical University of Berlin, where I received my Ph.D. in applied mathematics. My thesis was a cross-disciplinary work, where I developed complexity reduction methods using machine learning algorithms for financial risk analysis.
I have an interdisciplinary background, a bachelor’s in mechanical engineering, a master’s in computational science focusing on computational methods and high-performance computing, and I am currently working in the field of numerical mathematics. Additionally, I am highly skilled in Python and MATLAB.
My primary research interest is in applied mathematics, and specifically, I find problems in differential equations, numerical analysis, reduced modeling, stochastic analysis, and machine learning interesting.
PhD in Mathematics, 2022
Technical University of Berlin
MSc in Computational Science and Engineering, 2018
University of Rostock
BEng in Mechanical Engineering, 2015
University of Pune
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This paper presents the error analysis of the model order reduction (MOR) framework developed in https://doi.org/10.1186/s13362-021-00105-8