Thiago Tomei, a physicist from the University of São Paulo, earned his PhD in the same field from the São Paulo State University Júlio de Mesquita Filho. His research, which is rooted in high-energy physics, involves the development of artificial intelligence techniques to analyze data from particle accelerators. A devotee of Japanese culture and anime, Tomei embraces a light-hearted lifestyle to counter his intensive research activity. His preferred leisure activity is attending comic book and pop culture conventions. At these events, Tomei indulges his imaginative side by participating in traditional cosplay, where he dresses up and impersonates fictional characters.
High-energy physics explores the most fundamental constituents of matter, known as elementary particles, and their mutual interactions. Probing these minuscule entities requires high-energy-density states. The Large Hadron Collider (LHC), currently the world’s largest operational particle accelerator, facilitates this exploration. Collisions between protons in the LHC enable us to examine distances as tiny as one billionth of one billionth of a meter. As of 2026, these detectors are projected to generate approximately 60 GB/second of data. This massive data stream poses a significant challenge for analysis using existing computational techniques. However, new artificial intelligence methodologies could potentially resolve this issue, aiding us in our quest to unravel the true essence of matter.