Who we are

We are a research group at the University of Turin dedicated to exploring advancements at the intersection of computational biology and neural networks.

Computational Biology

In our computational biology division, we use computational techniques to study gene regulation mechanisms. By integrating bioinformatics, statistical modeling, and machine learning, we aim to understand the complex networks governing gene expression. Additionally, we investigate scale laws that govern biological systems, trying to find universal principles underlying biological organization. Our research also delves into the intrinsic dimensions of biological datasets, using dimensionality reduction and manifold learning methods to find meaningful insights from complex biological data.

Neural Networks

Our neural networks section is dedicated to theoretical explorations of artificial intelligence. We believe that it is crucial to focus our efforts on the theoretical aspects of neural networks, given that their development relies not on a deep understanding but on trial and error. We believe that using tools from physics such as statistical mechanics and dynamical systems theory and applying them to neural networks can help us understand the underlying principles of these systems.