معرفی
Alice Corbella is an Assistant Professor in the Department of Statistics at the University of Warwick. Her research focuses on developing advanced statistical methods for public health applications, particularly in infectious disease dynamics and Bayesian inference. She holds a PhD from the MRC Biostatistics Unit at the University of Cambridge, where her thesis explored epidemic models for influenza under the supervision of Anne Presanis and Dani De Angelis.
Her current work emphasizes MCMC methods, including the Zig-Zag sampling algorithm, and their application to low-valued count data in epidemiological contexts. She has contributed to studies analyzing the impact of emergency measures on hospital burden during the initial phases of the COVID-19 pandemic in Lombardia, Italy, and has developed forecasting models for influenza outbreaks.
Professional activities include advising MSc and MPhil students on projects like sub-type specific disease transmission and reporting delay effects on reproduction number estimation. She is affiliated with the Bayes4Health collaboration and maintains an active research program in computational statistics and health-related data analysis. Office hours are held weekly during term time.
