Curriculum Vitae

Dr. rer. nat. Thomas Camminady

thomas@camminady.dev · camminady.dev · github.com/thomascamminady

Experience

Algorithm Developer

Wahoo Fitness LLC

Since 03/2021, Remote from Germany

• Development of algorithms for consumer sports devices and in-house R&D.
• 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 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

01/2010 - 03/2015, 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

06/2017 - 07/2017, 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

10/2012 - 04/2013, 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

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

RWTH Aachen University

10/2013 - 03/2015, Aachen, Germany

Thesis: Theory and application of numerical methods for fractional diffusion equations.

Bachelor of Science in Computational Engineering Science

RWTH Aachen University

10/2009 - 09/2013, 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, 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

0. Mathematische Grundlagen der Künstlichen Intelligenz im Schulunterricht Mathematische Semesterberichte 69 (1), 73-101 Authors: Sarah Schönbrodt, Thomas Camminady, Martin Frank
1. Theory, models, and numerical methods for classical and non-classical transport Dissertation
2. 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
3. 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
4. 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
5. 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
6. 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
7. 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.
8. 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
9. 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
10. Theory and application of numerical methods for fractional diffusion equations Master's Thesis (2015)
11. Improvement of the aerodynamic shape optimization by adjoint methods in an MDO process Bachelor's Thesis (2013)