Contact
Allmandring 5b
70569 Stuttgart
Deutschland
Room: 1.36
Office Hours
Tuesday, 12.00 - 14.00
Subject
- Probabilistic Machine Learning
- Deep Learning
- Physics-informed neural networks
- Random PDEs
- Stochastic Optimization
- Uncertainty Quantification
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Summer term 2023 |
Seminar on Uncertainty Quantification and Machine Learning |
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Summer term 2023 |
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Winter term 2022/2023 |
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Winter term 2022/2023 |
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Summer term 2022 |
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Winter term 2021/2022 |
Higher Mathematics 3 |
| Since 2021 | University of Stuttgart, Department of Mathematics |
PhD-student at the Institute of Applied Analysis and Numerical Simulation, University of Stuttgart
Advisor: Prof. Dr. Andrea Barth
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| 2019-2021 |
University of Stuttgart, |
Master of Science in Mathematics Thesis: Supervised deep learning for stochastic lid-driven cavity flow Advisor: Prof. Dr. Andrea Barth
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| 2020- 2021 |
Fraunhofer IPA, Stuttgart |
Internship |
| 2018-2021 | University of Stuttgart, Department of Mathematics |
Undergraduate Assistant at the Department of Mathematics |
| 2015-2019 | University of Stuttgart, Department of Mathematics |
Bachelor of Science in Mathematics Advisor: Prof. Dr. Ingo Steinwart
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| 2016-2017 |
University of Stuttgart |
Scholarship (Deutschlandstipendium) from Ernst-Klett-Verlag GmbH |