EPFL research is back on the European stage

© 2025 EPFL
The European Research Council (ERC) has awarded eight ERC Advanced Grants to EPFL researchers.
Congratulations to Anastasia Ailamaki, Camille-Sophie Brès, Pierre Gönczy, Elison Matioli, Kirsten Moselund, Mathias Payer, Francesco Stellacci and Lenka Zdeborová!
This competition attracted 2,534 proposals, which were reviewed by panels of internationally renowned researchers. 281 proposals were selected for a total funding worth €721M.
The selected eight EPFL research projects under the program span a broad range of topics: neural networks, IT security, protein-interaction engineering, next-generation semiconductors, centriole biogenesis and more.
Anastasia Ailamaki at the Data-Intensive Applications and Systems Lab (IC) for the project “A principled approach to resource optimization through declarative data systems.”
Camille-Sophie Brès at the Photonic Systems Laboratory (STI) for the project “Chip-scale harmonic-generation based narrow-linewidth accordable visible light sources.”
Pierre Gönczy at the Cell and Developmental Biology Laboratory (SV) for the project “Building an organelle from scratch: deciphering de novo centriole biogenesis.”
Elison Matioli at the POWERlab@EPFL (STI) for the project “Polarization-engineered wide-band-gap electronic devices – a ground-breaking semiconductor platform for efficient electronics.”
Kirsten Moselund at the Integrated Nanoscale Photonics and Optoelectronics Laboratory (EPFL, STI) and the Laboratory for Nano and Quantum Technologies (Paul Scherrer Institute) for the project “Neuromorphic photonics and III-V electro-optic modulators for random lasing networks.”
Mathias Payer at the HexHive Laboratory (IC) for the project “LEAst Privilege compartmentS.”
Francesco Stellacci at the Supramolecular Nano-Materials and Interfaces Laboratory (STI) for the project “Engineering protein interactions using small molecules.”
Lenka Zdeborová at the Statistical Physics of Computation Laboratory (IC/SB) for the project “Statistical physics of attention and sequence modelling with neural networks.”