CV

Last updated: January 2025

Experience

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.

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.

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.

06/2017 - 07/2017, Aix-en-Provence, France

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.

10/2017 - 01/2021, Karlsruhe, Germany

Thesis: Theory, models, and numerical methods for classical and non-classical transport.

10/2013 - 3/2015, Aachen, Germany

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

10/2009 - 9/2013, Aachen, Germany

Thesis: Improvement of the aerodynamic shape optimization by adjoint methods in an MDO process.

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.

6 years of experience Development of scientific simulation tools and visualizations. Includes working with MuPAD, Simulink, and Optimization Toolbox.

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.

10+ years of experience Version control (git, Github), CI/CD, modern testing frameworks, proficiency with UNIX systems, AWS (Lambda), Jira, and Confluence.

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.