Anastasia Papavasiliou is a Lecturer in the Department of Statistics at the University of Warwick, part of the Faculty of Science. Her research lies at the intersection of stochastic processes, statistical inference, and multiscale modeling, with recent interdisciplinary work in RNA biology. PhD, Princeton University (2002) Lecturer, University of Warwick (2005–present) Her primary research interests include stochastic filtering, particle filters, multiscale diffusion processes, and rough differential equations. She has made significant contributions to parameter estimation in complex stochastic systems, particularly in the context of homogenization and multiscale dynamics. Recently, she has extended her work into statistical challenges arising in RNA editing and immune diversity through collaboration with immunologists. Her selected publications span high-impact journals such as Nature Communications , Annals of Statistics , and Multiscale Modeling & Simulation . These works demonstrate a strong trend toward developing rigorous statistical methodologies for systems with multiple time scales and noisy observations, with applications in both physical and biological sciences. Her work increasingly integrates Bayesian modeling and computational statistics to address heterogeneity in biological data. Parameter estimation for multiscale SDEs Maximum likelihood methods in stochastic systems Coarse-grained modeling and homogenization Applications in RNA editing and single-cell variability She advises students and collaborates across disciplines, particularly with researchers in applied mathematics and biology. She has no listed scientific awards in the provided text. She maintains an active research profile with ongoing contributions to statistical theory and its applications. She is affiliated with the Department of Statistics at Warwick and collaborates with researchers such as Terry Lyons (Oxford) and Nina Papavasiliou (DKFZ). Her office is located in MSB3.04, and she is actively involved in teaching and supervision.
