I am a Computer Scientist and an AI Researcher at RPTU Kaiserslautern, Germany. I am primarily interested in integrating expert (or domain) knowledge with machine learning. Currently, I am working on the alignment of neural networks. Application area include (but not limited to): NLP, LLMs, Physics-informed Machine Learning, etc.
I generally like to learn cool new stuff and enjoy engaging in discussions to tackle pertinent ML/AI challenges.
23.01.2025: Paper accepted at NAACL 2025: Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors.
30.09.2024: Released a new pre-print: SetPINNs: Set-based Physics-informed Neural Networks.
15.07.2024: Three papers accepted at ECML 2024 in ML4CCE workshop. 1 oral and 2 posters.
16.05.2024: Paper Accepted at ACL 2024. Title: Evaluating Dynamic Topic Models.
19.04.2024: Paper Accepted at IJCAI 2024. Title: Putting Back the Stops: Integrating Syntax with Neural Topic Models.
20.02.2024: Paper Accepted at LREC-Coling 2024. Title: Text Style Transfer Evaluation Using Large Language Models.
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