Dr

Alin Morariu –

Fellow

Alin is a Senior Research Associate at Lancaster University in MARS (Mathematics & AI for Real-world Systems). As part of the MARS Health theme, his research focuses on integrating deep learning and generative modelling into Bayesian inference methods for stochastic infectious disease models. 

His research will use high-performance computing to accelerate model calibration across a wide array of Bayesian approaches, including MCMC, ABC, and filtering methods. Beyond this, Alin has a strong interest in open-source software development and improving accessibility of complex Bayesian algorithms within epidemiology and health data science.

Previously, Alin did his PhD at Lancaster University, where he worked on spatial modelling of avian influenza and was a core developer of the Python library gemlib.