Stefano Castruccio

Notre Dame Collegiate Associate Professor

Applications (AI and Machine Learning) , Applied & Interdisciplinary Statistics (Statistics and Data Science), High-dimensional statistics and inference (Statistics and Data Science), Methodology & modeling (Statistics and Data Science), Optimization and Algorithms (AI and Machine Learning) , Scientific ML and AI (AI and Machine Learning)

Ph.D., University of Chicago, USA 2013
M.S., Politecnico di Milano, Italy, 2007

Prof. Castruccio joined the University of Notre Dame in 2017. His work focuses on the development of spatio-temporal statistical models for environmental applications, with applications spanning from assessment of renewable energy resources to assessing mortality from air pollution. His focus is mostly on climate and weather modes, and the use of statistical models that can act as a stochastic approximation to provide a computationally affordable assessment of parameter sensitivity analysis. His methodological research is focused on the development of physics-informed machine learning models for spatio-temporal data. Prof. Castruccio's research is supported by NSF, NASA, KAUST, as well as Notre Dame internal research grants.

Prof. Castruccio is an elected fellow of the American Statistical Association and an elected member of the International Statistical Institute. He is a recipient of the 2024 Gordon Bell Prize for Climate Modelling, as well as the 2023 TIES President's invited lecture, the 2021 TIES Abdel El-Shaarawi Early Investigator Award and the 2020 Early Investigator Award from the American Statistical Association, Section on Statistics and the Environment.