Hello, I am a researcher in data science at the Karlsruhe Institute of Technology (KIT), where I lead my own team with currently four PhD candidates and several graduate and undergraduate students. I have 7+ years experience developing scientific software for data analysis. I am particularly skilled at developing systematic evaluation and visualization pipelines for data science techniques. I like to invent new and scalable algorithms. My preferred programming languages are Python and Scala. I have advised 15+ students for their Master/Bachelor's theses and conducted multiple projects with major industry actors (such as Daimler, BMW, IBM, ...).

As a researcher, I am currently interested in problems involving automated decision making, in particular concerning dynamic, non-stationary settings. I am also interested in tasks like outlier detection, clustering, correlation analysis, and generally, learning from high-dimensional data streams. My dissertation, "Estimating Dependency, Monitoring, and Knowledge Discovery in High-Dimensional Data Streams" (Advisor: Prof. Klemens Böhm) received the highest distinction (Summa Cum Laude) and the Helmholtz Doctoral Prize 2020. I hold a Master's degree in Computer Science from KIT and a Master's degree in Engineering from ESIEE Paris. I also have an MBA from the Quantic School of Business and Technology.

While my preferred language for research and teaching is English, I am also able to communicate and conduct examinations in German or French without any difficulty. I recently took over the responsibility for the lectures “Data Science 1” and “Data Science 2” at KIT and substantially improved the content of the course. I can deliver those courses both as an online or on-site/hybrid format. I can provide the courses’ evaluation on request.

You will find my resume below. See also my list of publications.