Curriculum Vitae
Dr. rer. nat. Thomas Camminady
thomas@camminady.dev · camminady.dev · github.com/thomascamminady
Experience
Algorithm Developer
Since 03/2021, Remote from Germany
- Shipped an ML-driven training recommendation engine for athletes.
- Backend API development with Python and Pydantic, serving thousands of users, deployed via AWS.
- Collaboration with cloud engineers and frontend developers to ensure seamless integration and functionality.
- Using time series analysis, sensor fusion, uncertainty quantification, and machine learning; both for rapid prototyping and production-ready code.
- Analysis and visualization of distributed (user) data using pandas, numpy, plotly, and SQL.
- C-code generation for low-level hardware sensors (GNSS, barometer, gyroscope) using Matlab.
- Agile work environment in a fully remote team (US and EU) using Jira and Confluence.
Scientific Staff
Steinbuch Centre for Computing and Center for CES
04/2015 - 03/2021, Karlsruhe and Aachen, Germany
- Research in the field of kinetic theory, numerical mathematics, optimization, and machine learning.
- Application of reinforcement learning to the optimization of numerical algorithms in CFD.
- Optimization of research software on KIT's HPC cluster via parameter studies using OpenMP.
- Teaching assistant and substitute lecturer for modules in the mathematics and CES programs.
Student Assistant
01/2010 - 03/2015, Aachen, Germany
- Helping with teaching duties for a variety of mathematics and computer science modules.
- Developed GPU-based Monte Carlo simulations using CUDA.
Summer School on Plasmas
06/2017 - 07/2017, Aix-en-Provence, France
- Implementing magnetic field derivatives into a Fortran DG-MHD research code.
- Active participation in seminars and workshops in the field of plasmas.
Internship with Bachelor's Thesis
10/2012 - 04/2013, Manching, Germany
- Numerical simulations with in-house tools and the adjoint code of the German Aerospace Center (DLR).
- Automation of UAV airfoil shape optimization using mesh adjoints.
Education
Dr. rer. nat. in Applied Mathematics
Karlsruhe Institute of Technology
10/2017 - 01/2021, Karlsruhe, Germany
Thesis: Theory, models, and numerical methods for classical and non-classical transport.
Master of Science in Computational Engineering Science
10/2013 - 03/2015, Aachen, Germany
Selected Courses: Parallel Computing, Computational Differentiation, Uncertainty Quantification, Combinatorial Problems in Scientific Computing.
Thesis: Theory and application of numerical methods for fractional diffusion equations.
Bachelor of Science in Computational Engineering Science
10/2009 - 09/2013, Aachen, Germany
Selected Courses: Computational Fluid Dynamics, Aerodynamics, Calculus of Variations, Partial Differential Equations.
Thesis: Improvement of the aerodynamic shape optimization by adjoint methods in an MDO process.
Skills
Python
- 8 years of experience: Expertise in OOP, typed Python, and advanced software design paradigms for robust software development and testing. Experience with NumPy, Scipy, pandas, matplotlib, and scikit.
Matlab
- 6 years of experience: Development of scientific simulation tools and visualizations. Includes working with MuPAD, Simulink, and Optimization Toolbox.
Data Visualization
- 10+ years of experience: Expert in creating interactive data visualizations and dashboards using Altair, Plotly, Matplotlib, D3.js, and Observable Plot to present complex data in an accessible way. This includes publication-ready visualizations, interactive visualizations for explorative analysis, and development of deployable dashboards.
Software Development
- 10+ years of experience: Version control (git, Github), CI/CD, modern testing frameworks, proficiency with UNIX systems, AWS (Lambda), Jira, and Confluence.
Scientific Outreach
- Collaborator in the Computational and Mathematical Modeling Program (KIT University), developing programs that teach high-school and entry-level university students the importance of mathematical modeling for real-world applications.
- Publications in the (mathematical) didactical sciences, aiming at bringing mathematical modeling to the German Abitur.
Publications
- Mathematische Grundlagen der Künstlichen Intelligenz im Schulunterricht Mathematische Semesterberichte 69 (1), 73-101 Authors: Sarah Schönbrodt, Thomas Camminady, Martin Frank
- Theory, models, and numerical methods for classical and non-classical transport Dissertation
- Ray Effect Mitigation for the Discrete Ordinates Method Using Artificial Scattering Nuclear Science and Engineering, Vol. 194, No. 11, pp. 971–988 (2020) Authors: Martin Frank, Jonas Kusch, Thomas Camminady, Cory D. Hauck
- Vorschlag für eine Abiturprüfungsaufgabe mit authentischem und relevantem Realitätsbezug In: Modellierungskompetenzen – Diagnose und Bewertung, Springer Berlin Heidelberg, pp. 153–187 (2020) Authors: Sube, Maike; Thomas Camminady; Martin Frank; Roeckerath, Christina
- Ray effect mitigation for the discrete ordinates method through quadrature rotation Journal of Computational Physics, Vol. 382, pp. 105–123 (2019) Authors: Thomas Camminady, Martin Frank, Kerstin Küpper, Jonas Kusch
- Highly uniform quadrature sets for the discrete ordinates method In Proceedings of the International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (2019), pp. 25–29 Authors: Thomas Camminady, Martin Frank, Jonas Kusch
- A spectral Galerkin method for the fractional order diffusion and wave equation International Journal of Advances in Engineering Sciences and Applied Mathematics, Vol. 10, No. 1, pp. 90–104 (2018) Authors: Thomas Camminady, Martin Frank
- A new high-order fluid solver for tokamak edge plasma transport simulations based on a magnetic-field independent discretization Contributions to Plasma Physics, Vol. 58, Nos. 6–8, pp. 688–695 (2018) Authors: Giorgiani, G.; Thomas Camminady; Bufferand, H.; Ciraolo, G.; Ghendrih, P.; Guillard, H.; Heumann, H.; Nkonga, B.; Schwander, F.; Serre, E.; Tamain, P.
- Nonclassical particle transport in heterogeneous materials In Proceedings of the International Conference on Mathematics & Computational Methods Applied to Nuclear Science & Engineering (2017) Authors: Thomas Camminady, Martin Frank, Edward W. Larsen
- The equivalence of forward and backward nonclassical particle transport theories In Proceedings of the International Conference on Mathematics & Computational Methods Applied to Nuclear Science & Engineering (2017) Authors: Edward W. Larsen, Martin Frank, Thomas Camminady
- Theory and application of numerical methods for fractional diffusion equations Master's Thesis (2015)
- Improvement of the aerodynamic shape optimization by adjoint methods in an MDO process Bachelor's Thesis (2013)