Lorenzo Cavallo

I am an astrophysicist 🔭 and data scientist 📊 currently employed as Ind & Func AI Decision Science Analyst at Ammagamma, the Center of Exellence for AI and GenAI of Accenture.

In 2024 I completed my PhD in Astronomy at the Astronomy Department of the University of Padua. My research focuses on the formation, structure, and evolution of the Milky Way Galaxy 🌌. To achieve this, I combine simulations built on theoretical principles with observations from large-scale stellar surveys, such as Gaia. My work involves reconstructing the history of the Milky Way using stellar data, much like an archaeologist studies Earth’s history through fossils. This approach has earned astronomers like me the cool title of Galactic Archaeologists 🏺.

I am a dedicated machine learning and statistics enthusiast who and I integrate these powerful tools into my astronomical research to tackle significant, unresolved questions in the field. Explore my publications 📄 to see how machine learning and advance statistical methods push the boundaries of our understanding of the Universe.

Moreover, I am a proud member of the Italian outreach team GiovaniBlu, which focuses on promoting accurate information about nuclear energy and advocating for rational environmentalism 🔵.