Dr Alice Cicirello

Dr Alice Cicirello is a University Assistant Professor in Applied Mechanics at the University of Cambridge, Department of Engineering. Her research focuses on Applied Mechanics, Uncertainty Quantification, Physics-informed Machine Learning, Nonlinear System Identification, Digital Twins, Structural Dynamics, and Vibro-acoustics. She leads the Data, Vibration and Uncertainty group and is affiliated with the Dynamics and Vibration Research Group. Dr Cicirello is also a Lecturer and Fellow, and Director of Studies in Engineering at Churchill College. Her work addresses grand challenges in engineering, including design under uncertainty, system monitoring, and explainable machine learning strategies. She has contributed to various international conferences and editorial boards.

Alice Cicirello is a researcher specializing in Uncertainty Quantification, Physics-enhanced ML, Nonlinear System Identification, and Dynamics. Her work focuses on developing advanced methods for Bayesian inference, uncertainty analysis, and robust modeling of complex systems. She explores the integration of physical principles with machine learning to enhance predictive accuracy in dynamic systems. Her research includes the application of statistical methods to vibration analysis, structural reliability, and the modeling of nonlinear phenomena such as Coulomb friction and crack propagation. Cicirello's contributions span both theoretical and experimental investigations, with applications in structural health monitoring, offshore wind turbines, and biological systems. Her publications highlight the importance of combining physics-based models with data-driven techniques to address uncertainties in engineering and scientific problems.