Leading work on agentic systems for pharma — language models that plan, call tools, and carry out tasks grounded in scientific and regulatory text.

Built language AI for pharmaceutical text in the Language AI team, taking models from prototype to production and moving into agentic systems.

Research in the Machine Learning group headed by Prof. Alan Akbik, and member of the DFG-funded excellence cluster Science of Intelligence. Worked on learning from noisy and partially incorrect labels, and on continual learning.

Postdoctoral research in the Speech and Language Technology group at the German Research Center for Artificial Intelligence, continuing work on relation extraction and model analysis.

Doctoral research on neural sequential transfer learning for relation extraction, supervised by Prof. Sebastian Möller and Prof. Hans Uszkoreit. Thesis defended in November 2020 at TU Berlin.