CV
See my LinkedIn profile for additional information.
Personal information
| Name | Christopher Straub |
| Title | Dr. rer. nat. |
| Born | March 1996 |
| christopher.straub@iisb.fraunhofer.de | |
| Phone | +49 9131 761-401 |
| Address | Fraunhofer IISB, Schottkystr. 10, D-91058 Erlangen, Germany |
Work
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2026.01 - today Erlangen, Germany
Senior Scientist
Department Modeling and Artificial Intelligence, Fraunhofer IISB
Lead scientist of the AI-augmented Simulation group.
- Leading the research activities on Scientific Machine Learning.
- Acquiring and managing research projects.
- Supervising and mentoring research assistants and students.
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2024.09 - 2025.12 Erlangen, Germany
Research Associate
Department Modeling and Artificial Intelligence, Fraunhofer IISB
Research at the AI-augmented Simulation group.
- Research on Physics-Informed Machine Learning and its industrial application.
- Development of Physics-Informed Neural Operators for different semiconductor simulations as well as for a production environment at industrial client sites.
- Presentation of research results at various international conferences.
- Supervision of working students and co-supervision of student theses.
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2018.04 - 2024.08 Bayreuth, Germany
Research Assistant
Department of Mathematics, University of Bayreuth
Research & teaching at the Chair of Nonlinear Analysis and Mathematical Physics.
- Research on partial differential equations arising in galactic dynamics using mathematical and numerical methods.
- Started the position part-time during my master's studies as part of a Fast-Track programme.
- Authored 10 journal articles.
- Taught 13 mathematics courses.
Education
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2019.11 - 2024.03 Doctor of Science in Mathematics
University of Bayreuth
- Grade: summa cum laude ('excellent').
- Thesis: Pulsating Galaxies.
- Advisors: Gerhard Rein (Bayreuth) and Mahir Hadžić (UCL). Additional Reviewer: Yan Guo (Brown University).
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2017.10 - 2019.11 Master of Science in Mathematics
University of Bayreuth
- Overall grade: 1,0 ('excellent'). Achieved best possible grade (1,0) in every exam.
- Minor subject: Computer Science.
- Focus areas: Analysis and numerics for PDEs and artificial intelligence.
- Thesis: Stability of the King model - a coercivity-based approach.
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2014.10 - 2017.09 Bachelor of Science in Mathematics
University of Bayreuth
- Overall grade: 1,0 ('excellent').
- Minor subject: Computer Science.
- Focus areas: Analysis, differential equations, and basics of computer science.
- Thesis: Haar-Wavelets.
Certificates
| Natural Language Processing Specialization | ||
| DeepLearning.AI | 2024 |
| Certificate for Teaching in Higher Education of the Bavarian Universities | ||
| Center for teaching and learning, University of Bayreuth | 2022 |
| Deep Learning Specialization | ||
| DeepLearning.AI | 2022 |
| Machine Learning | ||
| Stanford University | 2022 |
Awards
- 2019
Preis der Goldenen Kreide
Faculty of Mathematics, Physics & Computer Science, University of Bayreuth
Teaching award based on students' feedback.
Languages
| German | |
| native |
| English | |
| fluent |
Profiles
Others
| As a balance to research, I love sport. Currently, I train to run long distances, usually by circling the Röhrensee as often as time and my legs permit. |