About Me
I’m a PhD student at the University of Zurich with Prof. Anastasia Koloskova, where I am working towards a scientific understanding of neural networks at the intersection of theory and engineering practice.
I recently completed my Master's in Electrical Engineering and Information Technology at ETH Zurich in the Machine Learning and Signal Processing track. I have extensively collaborated with the Data Analytics Lab of Prof. Hofmann, with whom I worked on Transformer Model Merging, and On Scale and Training Regimes in Continual Learning.
I come from Ticino, in the South of Switzerland. In my free time I enjoy cooking and baking, brewing specialty coffee, and running. I am also a huge fan of pro cycling and an avid listener of the LRCP cycling podcast.
News
- 09/2025: I have officially started my PhD at the Department of Mathematical Modeling and Machine Learning (DM3L) at the University of Zurich! Reach out if you want to collaborate on anything exciting 🤩.
- 06/2025: I am excited to share our newest paper on The Importance of Being Lazy in Continual Learning, which I will present in Vancouver 🇨🇦 for ICML in July!
- 06/2025: I am extremely happy to share that I will be joining the lab of Anastasia Koloskova in Zurich 🇨🇭 as a PhD student in September 🤩🎉!
- 03/2025: I have officially completed my Master of Science in EEIT from ETH Zurich 👨🏼🎓!
- 12/2024: I will be in Vancouver 🇨🇦 for NeurIPS this week, presenting our newest Workshop paper!
- 05/2024: I am excited to be in Vienna 🇦🇹 for ICLR this week to present our work on Transformer Fusion!
Selected Publications
- The Importance of Being Lazy: Scaling Limits of Continual Learning
- Exploring the Limits of Feature Learning in Continual Learning
- Transformer Fusion with Optimal Transport