I am passionate about understanding the principles of learning in biological systems, designing novel intelligent devices, and contributing to the evolution of Artificial Intelligence. I conduct my research using analytical and numerical tools, with a multidisciplinary approach getting inspiration from Physics, Neuroscience, and Machine Learning.

Here you can find my current and previous research projects:

Optimization algorithms for neuromorphic devices
(Institute of Neuroinformatics - ETH/UZH)

Geometrical structures in the self-attention matrices of Transformer models
(Institute of Neuroinformatics - ETH/UZH)

Predictive plasticity in Spiking Neural Networks
(Max-Planck Institute for Brain Research - Ernst Strüngmann Institute for Neuroscience)