Dr. Rafael Vescovi is a scientist at Argonne’s Data Science and Learning Division.

Vescovi’s research contributions span x-ray sciences, tomography, high-performance computing, robotics, distributed systems, data-driven discovery, neuroscience, neurobiology, automation and machine learning for autonomous discovery.

Vescovi received a BSc, MSc and PhD of Physics from the University of Campinas (UNICAMP), Campinas, Brazil.  

Research Interests

• Science Automation, Robotics, Machine Vision
• Distributed, parallel, and data-intensive computing technologies
• Innovative applications of scientific problems using user facilities