I am a Digital Science Master's student specializing at the intersection of Data Science, Knowledge Engineering, and Software Architecture. I enjoy working with messy data and turning it into structured knowledge, identifying trends, and building software architecture to back it up.
An implementation of Semantic Web technologies developed during my Master's curriculum at TH Köln together with .
- Core Focus: Building a prototype that converts Minecraft Crafting Data into a Knowledge Base that allows for more complex structuring and querying of the data.
- Tech Stack: RDF, Python, SPARQL, Wikibase
The prototype combined one of my personal favorite games (Minecraft) with a field of study I find rather interesting. We successfully fetched a subset of Minecrafts Crafting Ecosystem and generated a Knowledge Base, hosted and accessible using Wikibase, which allows for more complex SPARQL queries (Try it!).
An interactive ambient communication prototype developed during my Master's curriculum at TH Köln. The original prototype is called GeoGlow and was renamed for the creation of the Poster Paper.
Awarded with the Best Poster Award at the MUM '24 Conference.
- Core Focus: Research, Design, and Creation of an interactive prototype fostering the connection between remote friends.
- Tech-Stack: Python, C++ / Arduino, Kotlin
This prototype was further enhanced during my time as a research assistant at TH Köln. During that time a more sophisticated backend (based on NestJS) was added, the App was rewritten using the Ionic Framework, enabling corss-platform execution of the app, and additional features were added.
A study using a new rotary controller for input to automotive systems.
- Core Focus: Conducting a study using a touch sensitive rotary knob "DREA" / "MultiKnob"
- Tech-Stack: Python, Pandas, Excel
The rotary knob was capable of detecting the amount of fingers it was touched with. This allowed me to create a prototypical interface to (allegedly) enhance text input speed in an automotive context.
For my thesis I created the prototype and conducted a study to find out whether the touch capability could enhance the input speed.
An IoT prototype that provides directional feedback of obstacles around you, developed during my Master's curriculum at TH Köln.
- Core Focus: Creating a prototype that would allow you to feel obstacles around you.
- Tech-Stack: C++ / Arduino, Lidar, IoT Sensors & Actuators
This prototype was a lot of fun to create. We were inspired by Neil Harbisson and created a Lidar powered prototype that is able to detect obstacles in close proximity, and feedback the direction and distance of the obstacle by using vibration. Funnily enough, a real product similar to our idea was released shortly after: 7sense.




