Dr. Jonathan Shapiro

Biography

Jonathan Shapiro is a Reader at the University of Manchester's School of Computer Science, where he specializes in machine learning, probabilistic modeling, and evolutionary algorithms. His research interests include reinforcement learning, active learning, and optimization techniques. Shapiro heads the Machine Learning and Optimization Research Group and serves as the Deputy Director of the CICADA project, which is an interdisciplinary initiative involving the schools of Computer Science, Control Engineering, and Mathematics. Previously, he was affiliated with the Santa Fe Institute and has directed the Complex Systems Summer School. His earlier research focused on condensed matter physics at the University of Manchester and the University of California. Currently, he is involved in projects applying machine learning to optimization and multi-agent systems, emphasizing methods for adapting hybrid dynamical systems. Shapiro's work aligns with the UN Sustainable Development Goals, contributing to advancing economic efficiency and reducing poverty. He welcomes students with a strong background in probabilistic mathematics and physics to his research group.

Research Interests