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.

I’ll be on the industry job market in 2027. If you think there’s a fit, feel free to reach out.