Kevin M. Roccapriore

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About

Kevin M. Roccapriore is a leading figure at the intersection of experimental microscopy and artificial intelligence, pioneering the use of active Bayesian and reinforcement learning methods to automate and accelerate scientific discovery. His landmark paper, "Probe microscopy is all you need," argues that microscopy provides an ideal sandbox for deploying cutting-edge ML algorithms, a vision that has already garnered 18 citations and is reshaping how researchers approach autonomous experimentation. Roccapriore’s core contributions lie in developing frameworks where microscopes not only image but intelligently decide where to probe next, dramatically reducing data acquisition time while maximizing information gain. This work has profound implications for materials science, enabling the rapid characterization of complex nanostructures and functional materials. Beyond this, his research spans the design of closed-loop systems that learn from each measurement, effectively turning the microscope into an autonomous scientist. With a growing citation footprint and a reputation for bridging theory and practice, Roccapriore is a key architect of the next generation of smart, self-driving laboratories.