ABOUT ME
Software Architect for Data Science
My Background
Starting as a Statistician, the computational aspects of this field quickly sparked my general interest in coding. Machine learning was the optimal combination of maths and coding for me. As an early hobby, I also started to make android apps. Originally, the idea was to have a practical application of the very theoretical Java intro class in my bachelors. However, it also turned out to be the "gateway drug" into a deep rabbit hole of software development. And after >10 years down that hole, this is where I am today.
My Career Path
Design and implementation of AI features for Roche software products.
Development of cost-sensitive feature selection algorithms by extending standard methods like genetic algorithms, SFS or filters. Developed a novel approach based on random forests.
Working as a Biostatistician with Machine Learning Experience in R&D. Development of Biomarker prediction models on NMR data for diagnostic applications.
Awarded as part of the 10% best graduates of the year.
Helping a Start-Up company with statistical matching algorithms of personal data.
Completed one year earlier than the standard period of study.