I received my PhD in applied mathematics in February 2020 from the University of Modena and Reggio Emilia (UniMoRe), Italy, with a thesis on "A framework for the analysis of machine learning systems". I have been working on data science and machine learning for five years, both in academia and industry (Tetra Pak, Maserati, Advertima).
I am interested in everything that can help me finding and understanding the patterns hidden in our world. Since I found out that boosting statistical models with parallel computers can be pretty efficient at this task, I have made it my job to understand how machine learning systems work and how to apply them to real-world problems. My research interests lie at the intersection of mathematical analysis, stochastic optimisation, algorithms, and parallel programming.
At IIS, I am working on quantised neural networks (QNNs): applying data science techniques to know how good networks look like, developing new algorithms to improve their learning process, and crafting tools to deploy them on resource-constrained computing platforms.
- Office: ETZ J76.2
- telephone: (+41 44 63) 384 70
- e-mail: firstname.lastname@example.org
- www: Matteo Spallanzani (ETH page)