I am a Postdoctoral Researcher at the University of Technology Nuremberg, working on efficient, automated, and explainable machine learning systems, with a focus on:
- Automated machine learning
- Hyperparameter optimization
- Interpretable deep learning
- Tabular foundation models
- In-context learning & model efficiency
- Interpretable Mesomorphic Networks for Tabular Data — NeurIPS 2024
- Quick-Tune: Learning Which Pretrained Model to Finetune — ICLR 2024 (Oral, Top 1.2%)
- Scaling Laws for Hyperparameter Optimization — NeurIPS 2023
- Supervising the multi-fidelity race of hyperparameter configurations — NeurIPS 2022
- Well-Tuned Simple Nets Excel on Tabular Datasets — NeurIPS 2021
- OpenML-Python API — JMLR 2021
📖 More:
- Google Scholar: [Link]



