Experienced software developer, data scientist, & researcher who is excellent in analytical and numerical modeling, programming and data analysis, and is initiative-taking and self-managed. In my spare time I enjoy watching mathematics lectures on YouTube, building an android app to classify mushrooms, designing quantum circuits/algorithms, web-scraping, competing on Kaggle.com, skateboarding, bouldering and brewing beer.

Work Experience⌗

Python developer, Qblox, june 2022 - present⌗

Qblox delivers control hardware that is used to control and readout qubits in quantum computers. Here I develop and maintain the two python packages quantify-scheduler and quantify-core that act as a user-friendly interface for users of our hardware.

Data scientist & XR Developer, Centre for Innovation, jan 2021 - june 2022⌗

Working on projects relating to the broad theme of Data and AI that ranges from improving the university’s education to providing solutions in the humanitarian, peace and justice sectors. All software that we create is open source, version controlled, documented and contain unit-tests to ensure stability and maintainability.

Humanitarian data science volunteer, 510 Global – Red Cross, jun 2020 - dec 2020⌗

I shared my knowledge and expertise on various machine learning algorithms that can be used to improve crisis mitigation in African countries.

Postdoc, Theory of Condensed Matter – Radboud University, jun 2020 - nov 2020⌗

I investigated magnetic and electronic properties of novel two-dimensional materials. This research could lead to the development of smaller, faster and more energy efficient (greener) computer chips and memory.

PhD candidate, Theory of Condensed Matter – Radboud University, jun 2016 - may 2020⌗

Recent Projects⌗

Legal-AI to help retrieve information from legal texts
Created an AI that helps classify e-mails sent to the university help desk
2 Augmented reality apps to help medical students practice medicine on holograms
360 virtual reality experience to help doctors treat patients with dementia
Timeseries forecasting of crop failure in Tanzania and Kenya
Risk assessment for using digital learning data for Leiden University
Social media driven stock price prediction
Mushroom classifier for Android

Education⌗

M.Sc. - Physics and Astronomy, Radboud University, 2014 - 2016
B.Sc. - Physics and Astronomy, Radboud University, 2009 - 2014

Skills⌗

Transferable Project, time & resource management $\bullet$ mentoring $\bullet$ teaching & onboarding $\bullet$ data management $\bullet$ problem solving & troubleshooting

Programming Python (10 years) $\bullet$ Mathematica (7 years) $\bullet$ C# $\bullet$ C++ $\bullet$ C $\bullet$ Java $\bullet$ R $\bullet$ Fortran $\bullet$ Tensorflow $\bullet$ PyTorch $\bullet$ fastAI $\bullet$ qiskit

Computer Linux $\bullet$ macOS $\bullet$ Windows $\bullet$ Git $\bullet$ slurm $\bullet$ dvc $\bullet$ $\LaTeX$ $\bullet$ Unity.

Language Dutch (native) $\bullet$ English (fluent) $\bullet$ Polish (good).

Publications⌗

To Forecast or Not to Forecast: That is the Question (of Household Electricity Consumption in the Netherlands) (2023) in preparation
Legal-RobBERT: A Domain-Specific Dutch Language Model (2022), in preparation
Uncovering Giant Anisotropy of Gilbert Damping in two-dimensional Anti-ferromagnets (2021), in preparation
Giant anisotropy of Gilbert damping in a Rashba honeycomb antiferromagnet, Physical Review B 101 104403 (2020)
Spin-orbit torques in a Rashba honeycomb antiferromagnet, Physical Review B 100 214403 (2019)
Spin-torque resonance due to diffusive dynamics at a surface of a topological insulator, Physical Review B 99, 214444 (2019)

CV