Leo D'Amato

As a Machine Learning Engineer at Artificialy, I specialize in architecting custom agentic AI solutions for complex, large-scale applications. My work powers mission-critical deployments for international partners and leading enterprise clients such as UBS.

Previously, I was a Research Fellow at ISTC-CNR within the CONAN Lab, working at the intersection of AI and Cognitive Science under the supervision of Dr. Giovanni Pezzulo.

I have also contributed to SORTEDMOBILITY, a large-scale EU initiative applying advanced mathematical modeling and AI to optimize and reshape railway traffic management.

Earlier, during my Master’s at Université Côte d’Azur, I studied Mean Field Games and their applications to quantitative finance under the supervision of Prof. François Delarue.