About me
I received my PhD in Machine Learning (ML) and Natural Language Processing (NLP) from the University of Bonn and Fraunhofer IAIS where I was member of the Text Mining group. Now I work on AI and data driven products, mostly.
My main passion is in NLP, especially for the German language, and Information Retrieval (IR). Sometimes I build Recommender Systems.
I believe in open source, growth and giving back (to the tech community). These days, I’m more active in the community than on GitHub. Since 2024, I’ve been part of the PyCon DE & PyData Program Committee, as well as a member of the IT-Tage Curatorium.
Talks
- At PyCon DE & PyData 2025, I talked about Information Retrieval, how we can measure search engine effectiveness (please head over to Daniel Tunkelang for cited sources), and how I built a hybrid search for Sendung mit der Maus. You can’t find the demo in the slides but the code will be up on github soon. I am also happy to chat so please reach out to me if you want to learn more.
- On the “Tag der Mathematik” at RheinAhrCampus Remagen, I spoke about how machine learning-based services shape our everyday lives and how I have contributed to such tools and products during the last years. The talk is intended to inspire more young people to study mathematics by showcasing the diversity of applications. Especially in the fields of AI and Data Science. Slides are in German.
- I gave an update of the talk on Large Language Models for Medical Language Processing at IT Tage 2023. Here’s a Take Away Post on LinkedIn.
- I was invited to give a talk about Large Language Models and their application to medical data at the data2health Summerschool. I found the book Foundation Models for Natural Language Processing by my PhD advisor Gerd Paaß incredibly helpful for that.
- I talked about NLP for medical data with focus on German data and medical controlling at the ML Conference (online). Here are the slides, heavily damedic branded ;-)
- I gave a talk about entity linking for biomedical data at the Hamburg Data Science Meetup, Hamburgs largest data event. Here are the slides.
- I was invited to give a talk at my alma mater Hochschule Koblenz to tell the students (all aspiring data scientists, I hope) a bit about the life of a data scientist and my career path in general. As this was a bit informal, I chose the humorous avenue, so bear with me. Here are the slides (in German).
- I have a thing for tested code. In an “automated-vs-print-statement” sense. Here are some motivational slides that unfortunately do not seem to get old.
Resources
- I maintain a (somewhat opinionated) list of resources, covering blogs, newsletters and social events in the AI and tech ecosphere.
- This page is more focussed on NLP and contains a (hopefully growing) list of resources to get started in that domain.
- I love podcasts. Here’s my heavily biased list of awesome-podcasts.
- Last but not least, here are some rather dusty notebooks on NLP (mostly spaCy and elasticsearch related).
- You can find my publications at Google scholar.