News
2026
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award
I was recognized as a Top Reviewer for NeurIPS 2026, which came with a complimentary conference registration. Looking forward to the talks and papers this December!
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grant
Our project proposal CLARITY (AI-based Contextual Artifact Reduction for Integrity and Traceability in Multimodal Clinical Records), which I co-authored, was funded with €2 million through the BMFTR Zukunft eHealth program (2027–2030).
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workshop
I attended the GPU Programming Workshop by LRZ and NHR@FAU, covering accelerated computing with OpenACC, OpenMP, Kokkos and CUDA C++ on NVIDIA GPUs. I really enjoyed learning more about these topics and getting hands-on experience on a GPU cluster.
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grant
I was selected as a Software Campus Fellow, receiving a BMFTR Tech Leadership Grant of €115k for 2026–2028.
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publication
Our survey and practical guide Fine-tuning Large Language Models with Limited Data is published in TACL.
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talk
I presented our paper Unintended Memorization of Sensitive Information in Fine-Tuned Language Models at the Google Safety Engineering Center, invited by the Anonymization Team.
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publication
I gave an oral presentation of our paper Unintended Memorization of Sensitive Information in Fine-Tuned Language Models at EACL 2026 in Rabat, Morocco. TL;DR: fine-tuned LLMs can memorize and leak personal information that appears only in the input prompts, even when it is unrelated to the training targets.
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2025
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publication
LLM-based extraction of clinical data: potentials and challenges is published in Die Orthopädie.
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2024
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career
I started my PhD on trustworthy and efficient medical language models at TUM with Prof. Daniel Rueckert, working as a research scientist at the TUM University Hospital.