I am a Data Scientist at BlockTech where I combine finance and data science with my quantitative background. I like to solve complex problems, learn, and make a difference. My background is in Applied Physics in which I obtained my masters’ degree, cum laude, at the Delft University of Technology.
In the past, I have worked on:
- Faulty chip prediction @ ASML
- Machine learning solution consultant using the Google Cloud @ ML6
- Point cloud compression for autonomous vehicles @ Teraki
- Fruit frost mitigation, published: doi.org/10.1016/j.agrformet.2019.107868
- Medical imaging, tinyurl.com/BScThesisMedicalImaging
Work
| 2021 - Present | Data Scientist @ BlockTech | Trading, quantitative finance |
| 2020 - 2021 | ML Engineer @ ML6 | ML in production, Consultancy |
| 2019 | Data Scientist @ Teraki | Point Clouds, Data Compression |
Education
| 2019 | MSc cum laude Applied Physics |
| 2017 | BSc Applied Physics |