Summary

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.

Curriculum Vitae

It appears that this browser does not support embedded PDFs. Please download the PDF to view it: Download PDF.