Talks

Lightning talk on LuMamba — using LeJEPA “world-model” self-supervision to pretrain a tiny, montage-agnostic foundation model for biosignals.

Poster presentation of our full-stack framework for deploying biosignal foundation models on ultra-low-power edge devices at AMLD 2026 in Lausanne.

Poster presentation of LUNA—our topology-agnostic EEG foundation model—at NeurIPS 2025 in San Diego.

Presented quantized biosignal foundation models in EMBC’s silent disco session while Anna Tegon delivered FEMBA.

Successful defense of my PhD thesis “Robust and Practical Machine Learning Solutions for Wearable Biomedical Edge Devices.”

Oral presentation of VowelNet and poster presentation of Train-on-Request at IEEE BioCAS 2024 in Xi’an.

Oral presentation of EpiDeNet and poster presentation of SkiLog at IEEE BioCAS 2023.

Energy-Efficient Artifact Detection Based on a Minimal Number of EEG Channels.

Hardware-Aware Neural Network Analysis using Training Free Aspects.

Hardware-Aware Neural Network Analysis using Training Free Aspects.