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Matteo Bucci is an Associate Professor in Nuclear Science and Engineering at the Massachusetts Institute of Technology (MIT). His research group investigates two-phase heat transfer mechanisms in nuclear reactors and space systems, focusing on high-resolution non-intrusive diagnostics and surface engineering techniques to enhance two-phase heat transfer. He has developed machine learning tools to accelerate data analysis and conduct autonomous heat transfer experiments. Bucci has received numerous awards for his research and teaching, including the Ruth Joel Spira Award for Excellence in Teaching in 2020, and the ANS/PAI Outstanding Faculty Award in 2018 and 2023. He serves as the founding editor and deputy editor-in-chief of AI Thermal Fluids and has substantial experience consulting in the nuclear industry. Bucci is also a co-founder of Ferveret, a startup specializing in advanced cooling technologies for data centers. His notable achievements include the Fluent MSc Thesis Award, several recognitions from the American Nuclear Society, and a Distinguished Early Career Award from the DOE in 2022. His research interests encompass experimental diagnostics, machine learning algorithms, and the investigation of boiling heat transfer in extreme environments, particularly for application in nuclear reactor safety and cryogenic propulsion systems.
Massachusetts Institute of Technology • Cambridge, MA, US
Conducts research and teaches in the Department of Nuclear Science and Engineering.