About me
I'm a Data Scientist in Sustainable Transport at TNO in The Hague, Netherlands. My work focuses on analyzing and modeling real-world vehicle emissions to support cleaner and more efficient transportation solutions. Among others, I'm involved in the following key projects at TNO:
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Estimating real-world brake wear emissions to assess the impact of particulate matter from braking on air quality.
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Measuring NOx emissions using the plume chase method, which involves real-world data collection and modeling to improve emission estimates.
I obtained my PhD in Physics from the University of Groningen in 2025, with my thesis titled Intermediate Mass Black Holes as Targets for Dark Matter Searches - A Gamma-ray Analysis Incorporating
Machine Learning Techniques.
With over 10 years of Python experience, I have strong expertise in machine learning, data analysis, and software development, with a focus on artificial neural networks and predictive modeling.
Some of my favourite books:
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The 7 Habits of Highly Effective People by Stephen R. Covey
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Thinking. Fast and Slow by Daniel Kahneman
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Atomic Habits by James Clear
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Mindfullness in Plain English by Bhante Henepola Gunaratana
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The Culture Map by Erin Meyer
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A Random Walk Down Wall Street by Burton G. Malkiel
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Das Zeitalter der Unschärfe by Tobias Hürter
CV
A summary of my CV is listed below.
Work Experience
since 2024: Data Scientist
Analyzing and modeling real-world vehicle emissions to support cleaner and more efficient transportation solutions.
TNO, The Hague, the Netherlands
2017-2019: Student Assistant
Conducting experiments in the field of thin film processing with laser radiation.
Fraunhofer Institute for Laser Technology ILT, Aachen, Germany
Education
2020-2025: PhD, Physics
Thesis title: Intermediate Mass Black Holes as Targets for Dark Matter Searches - A Gamma-ray Analysis Incorporating Machine Learning Techniques
University of Groningen, the Netherlands
2018-2020: Master of Science, Physics
Thesis title: X-ray Studies of the Galaxy Group UGC03957 using eROSITA, XMM-Newton and Suzaku Data
RWTH Aachen University in cooperation with University of Bonn, Germany
2014-2018: Bachelor of Science, Physics
Thesis title: Study of Matrix Element Methods for the Higgs Boson CP Measurement in CMS
RWTH Aachen University, Germany
Skills
Programming Languages
Proficient with: Python, bash
Comfortable or Familiar with: C/C++, SQL, MATLAB, HTML & CSS
Machine Learning
Artificial Neural Networks, Boosted Decision Trees, Random Forest, Support Vector Machines, Linear Regression, Tensorflow, Keras, Scikit-learn
Data Science / Visualisation
NumPy, Pandas, Scipy, PySpark, Matplotlib
High-Performance Computing
Parallel Processing, Remote Job Submission, GPU Acceleration
Operating Systems
macOS, Linux, Windows
Miscellaneous
Git / GitLab, Jupyter Notebook, LaTex, Microsoft Office
Languages
English (proficient)
German (mother tongue)
Dutch (basic)
French (basic)
Scholarships
Since 2020: Fundamentals of the Universe PhD Scholarship Programme
Awarded a PhD scholarship via a competitive process, evaluated by top physics and astronomy experts.
Volunteer Work
2021-2022: President of Young Minds Groningen
2022-2024: Coordinator of Machine Learning Journal Club