Builder and ML Research Engineer at the ELLIS Institute Tübingen, working on post-training of multilingual LLMs. Previously, I was a PhD student at Frank Hutter's Machine Learning Group in Freiburg.
Past projects:
- Improving LLM-based Global Optimization with Search Space Partitioning (4th author, ICLR 2026)
- Beyond Random Augmentations: Pretraining with Hard Views (1st author, ICLR 2025) [code]
- Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How (2nd author, ICLR 2024, oral) [code]
- Zero-Shot AutoML with Pretrained Models (1st author, ICML 2022, spotlight) [code]
- Learning Environments for Reinforcement Learning (1st author, ICLR 2022) [code]
My PhD thesis: Meta-Learning and Synthetic Data for Automated Pretraining and Finetuning (supervised by Prof. Frank Hutter)
- allenai/open-instruct – Post-training recipes for language model (see this PR)
- OpenEuroLLM/llm-judge-eval – LLM-as-judge evaluation framework
🔍 aretheyinvolved.com - Search + analyse names across all Epstein files (NER, OCR, co-occurrences, AI summaries+role classification).
🌸 myperfumeai.com – ChatGPT for perfumes / personal perfume recommendation AI assistant based on 120k+ perfumes dataset.
🧠 Conditional Density Estimation (CDE) – Reference package (cde) for conditional density estimation.
🧩 slurmfrag – Fine-grained experiment fragmentation and management for SLURM clusters.
📊 tailgrid – Terminal-based and LLM-assisted monitoring and visualization of log files.
🧮 Generative Symbolic Regression – Neural translation from tabular data to concise LaTeX equations. (private / research code)
🤖 mppi_pendulum – Minimal MPPI control implementation for the classic pendulum task.
🎯 Zero-Shot AutoML with Pretrained Models – Zero-shot selection of strong pretrained models without training.
🎥 video2tfrecord – Convert raw video datasets into scalable TFRecord pipelines.