Artur Back de Luca

I am a fourth-year Ph.D. student in Computer Science at the University of Waterloo and a member of the WatCL lab. I am advised by Kimon Fountoulakis, and my research explores reasoning in neural networks by focusing on their ability to learn algorithmic tasks. I am also broadly interested in theoretical machine learning and graphs. I previously studied AI and Robotics (M.Sc.) at Sapienza University of Rome, and Mechanical Engineering (B.Sc.) at the Federal University of Santa Catarina.

During Summer 2025, I joined Amazon New York as an Applied Scientist Intern on the SCOT team, where I worked with Ruijun Ma and Youxin Zhang on inbound event forecasting. In 2022, I interned at Huawei’s Noah’s Ark Lab, where I worked with Guojun Zhang on federated learning and domain generalization, and with Yingxue Zhang on invariant graph representations.