Career
I am currenly working as a principal data scientist at
Boehringer Ingelheim Pharma,
where I develop new analysis strategies for drug discovery.
Highlights:
- Experienced ML data scientist / engineer, responsible for the (co-)development of several biomedical machine learning platforms and (gen)omics pipelines (in Python, R, Bash, JS).
- Strong project leader and collaborator: headed several multi-disciplinary scientific and software dev teams, resulting in the realisation of project goals and continued funding.
- Effective communicator, as demonstrated by 8 publications in peer-reviewed scientific journals (of which 5 as first author, mean impact factor 12.1), being selected as first reviewer of the bestseller The 100 Page Machine Learning Book, and a Forbes co-authorship on an AI article.
Details can be found in my resume below:
Projects
-
Developed and deployed an AutoML machine learning platform for biomarker discovery called ScaiVision.
- Developed the cleanse package, which allows usage of a simplified syntax to work with one of the most widely used genomics data formats.
- Created an automated image analysis pipeline in CellProfiler (chapter 2 of thesis)
- Developed an NLP-based deep learning framework to predict protein features (unpublished)
- Built an interactive user interface in shiny to visualize multiplex experiments (link)
