The paper “Clinical Uncertainty Impacts Machine Learning Evaluations” was accepted at ML4H 2025; a tutorial on “Modern Data Cleaning” was accepted at IEEE International Symposium on Biomedical Imaging (ISBI) 2026; the paper “With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You” was accepted at NeurIPS 2025; the paper “Listening Intention Estimation for Hearables with Natural Behavior Cues” was accepted as an oral presentation at WASPAA 2025; the paper “Is Hyperbolic Space All You Need for Medical Anomaly Detection?” was early accepted at MICCAI 2025. Additionally, received the Best Paper Award at MICCAI 2023.
Research Experience
Works as a Research Associate at the Applied AI Research Lab (AAI) at Lucerne University of Applied Sciences, and as a Data Scientist at Jaywalker Digital AG.
Education
PhD student at the University of Basel, supervised by Alexander A. Navarini and Marc Pouly. During his PhD, he held a visiting PhD position at the MLBio Lab under the supervision of Maria Brbić at EPFL.
Background
Research interests include data-centric machine learning, multimodal representation learning, and medical imaging.
Miscellany
Apart from doing research, he spends time with his family and enjoys cycling.