Summary
Niklas Kasenburg is a Motor ML Lead based in Zurich with a decade of experience building, validating and productionizing data-driven models across domains from medical imaging and genomics to IoT and sensor time series. He combines a PhD in Computer Science and a bioinformatics background to bridge rigorous research methods with pragmatic MLOps practices—versioning, continuous integration and maintainable pipelines—to deliver explainable, fair and user-centered AI. Comfortable with a broad toolkit (regularized regression, tree ensembles, neural nets, clustering, visualization and statistical testing), he has led ML work in both biotech and insurance contexts, translating complex biological and sensor data into operational products. Notably, his focus on interpretability and human-centered design ensures stakeholders can trust model outputs, while his academic-to-industry career path enables rapid iteration from prototype to production.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Københavns Universitet - University of Copenhagen
Master of Science (MSc) Bioinformatik, Master of Science (MSc) Bioinformatik at University of Tübingen
German, English, German, Danish, French, Lithuanian