Summary
Rafael Vescovi is a computer scientist and instructor trainer with over a decade of experience applying physics-rooted rigor to scientific automation, data orchestration, and robotics. With a PhD in Physics from UNICAMP and multi-year roles at Argonne National Laboratory and the Argonne Leadership Computing Facility, he has helped architect HPC-driven self-driving laboratory workflows that accelerate experimental research. He blends hands-on computing for synchrotron and reactor instrumentation with AI-infused orchestration to improve operational efficiency and research throughput. Based in the Chicago area, he also brings teaching and community leadership experience—from university instruction to scuba education governance—demonstrating an ability to translate complex technical systems into practical, trainable processes.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Universidade Estadual de Campinas