Piero holds a Ph.D. in physics and is a co-founder of SciScry. As a researcher, his activities focused on Monte Carlo algorithms, employed for the generation of particle physics simulations at CERNs LHC. He has employed Machine Learning algorithms since then, and he did not stop after exiting the academia. He has experience in building planning applications and data warehousing systems, as a consultant. In his portfolio stand various predictive analytics use cases, like anomaly detection, predictive maintenance and customer segmentation.

At SciScry he is responsible for the forecasting algorithms, as well as the architecture solutions and integrations with the customers infrastructure.