Dr. Thomas Camminady

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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.

Yada yada yada

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.

Presenting at and collaborating with high school initiatives to promote data science and machine learning.

Languages

German: Mother tongue.

English: Still discovering words I don't know when reading The New Yorker.

French: Oui.

Publications and Theses

Google Scholar profile

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.