Computer scientist with a strong interest in information retrieval, text mining, data integration, and explorable visualisations to better understand and interact with large-scale heterogeneous datasets who applies his skills for evidence synthesis in climate research with a focus on carbon dioxide removal, public perceptions thereof, carbon pricing, and climate and health.
- Data annotation platform:
https://github.com/TimRepke/nacsos-core https://apsis.mcc-berlin.net/nacsos-docs/ - Tool for annotating text:
https://github.com/HPI-Information-Systems/enno - Countdown to timebox sectioned meetings:
https://github.com/TimRepke/timebox - Completely over-blown gamified signup form and system to manage event registrations:
https://github.com/TimRepke/registration-system - Fun game to play in Berlin:
https://github.com/TimRepke/ringbahnwuerfeln
Thesis: Machine-learning-assisted corpus exploration and visualisation