Experience
Algorithm Developer
Wahoo Fitness LLC
since March 2021, Remote from Germany
- Development of algorithms for consumer sports devices and in-house R&D.
- 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
April 2015 - March 2021, Karlsruhe and Aachen, Germany
- Research in the field of kinetic theory, numerical mathematics, optimization, and machine learning.
- Application of machine learning tools 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
Center for CES
January 2010 - March 2015, Aachen, Germany
- Helping with teaching duties for a variety of mathematics and computer science modules.
- Various CPU- and GPU-based research projects using C, Fortran, and CUDA.
Summer School on Plasmas
Festival de Théorie
June 2017 - July 2017, Aix-en-Provence, France
- Active participation in seminars and workshops in the field of plasmas.
- Implementing magnetic field derivatives into a Fortran DG-MHD research code.
Internship with Bachelor's Thesis
EADS Cassidian
October 2012 - April 2013, Manching, Germany
- Automation of UAV airfoil shape optimization using mesh adjoints.
- Numerical simulations with in-house tools and the adjoint code of the German Aerospace Center.
Education
Dr. rer. nat. in Applied Mathematics
Karlsruhe Institute of Technology
October 2017 - January 2021, Karlsruhe, Germany
Thesis: Theory, models, and numerical methods for classical and non-classical transport.
Master of Science in CES
RWTH Aachen University
October 2013 - March 2015, Aachen, Germany
Thesis: Theory and application of numerical methods for fractional diffusion equations.
Bachelor of Science in CES
RWTH Aachen University
October 2009 - September 2013, Aachen, Germany
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, 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, 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
Camminady, T. (2021). Theory, models, and numerical methods for classical and non-classical transport. Dissertation.
Schönbrodt, S., Camminady, T., & Frank, M. (2021). Mathematische Grundlagen der Künstlichen Intelligenz im Schulunterricht. Math Semesterber 69, 73–101.
Frank, M., Kusch, J., Camminady, T., & Cory D. Hauck. (2020). Ray Effect Mitigation for the Discrete Ordinates Method Using Artificial Scattering. Nuclear Science and Engineering, 194(11), 971–988.
Sube, M., Camminady, T., Frank, M., & Roeckerath, C. (2020). Vorschlag für eine Abiturprüfungsaufgabe mit authentischem und relevantem Realitätsbezug. In G. Greefrath & K. Maaß (Eds.), Modellierungskompetenzen – Diagnose und Bewertung (pp. 153–187). Springer Berlin Heidelberg.
Camminady, T., Frank, M., & Kusch, J. (2019). Highly uniform quadrature sets for the discrete ordinates method. Proc. Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering, 25–29.
Camminady, T., Frank, M., Küpper, K., & Kusch, J. (2019). Ray effect mitigation for the discrete ordinates method through quadrature rotation. Journal of Computational Physics, 382, 105–123.
Camminady, T., & Frank, M. (2018). A spectral Galerkin method for the fractional order diffusion and wave equation. International Journal of Advances in Engineering Sciences and Applied Mathematics, 10(1), 90–104.
Giorgiani, G., Camminady, T., Bufferand, H., Ciraolo, G., Ghendrih, P., Guillard, H., Heumann, H., Nkonga, B., Schwander, F., Serre, E., & Tamain, P. (2018). A new high-order fluid solver for tokamak edge plasma transport simulations based on a magnetic-field independent discretization. Contributions to Plasma Physics, 58(6–8), 688–695.
Camminady, T., Frank, M., & Larsen, E. W. (2017). Nonclassical particle transport in heterogeneous materials. International Conference on Mathematics & Computational Methods Applied to Nuclear Science & Engineering.
Larsen, E. W., Frank, M., & Camminady, T. (2017). The equivalence of forward and backward nonclassical particle transport theories. International Conference on Mathematics & Computational Methods Applied to Nuclear Science & Engineering.
Camminady, T. (2015). Theory and application of numerical methods for fractional diffusion equations. Master’s Thesis.
Camminady, T. (2013). Improvement of the aerodynamic shape optimization by adjoint methods in an MDO process. Bachelor’s Thesis.