Summary
Alberto Torres is a postdoctoral researcher with 12 years of experience applying computational physics, high-performance computing, and AI to materials science and interfaces. With a Ph.D. in Condensed Matter and Materials Physics from Universidade de São Paulo, he has led projects ranging from lattice Boltzmann fluid dynamics for oil & gas to quantum computing and machine-learned molecular dynamics of water. Currently based in São Paulo, he develops AI models tailored for the mining industry, bridging fundamental condensed-matter expertise with industry-focused simulation tools. He combines deep theoretical training with practical HPC and ML workflows, and is known for translating complex physical models into scalable computational solutions.
12 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at Universidade Federal de Santa Catarina
University of São Paulo
English, Spanish, Portuguese, German