Alin Morariu –

Fellow

Alin is a research fellow in statistics at Lancaster University. His research focuses on developing Bayesian inference methods and computational frameworks for stochastic infectious disease models. He is interested in using high-performance computing and open-source software development to make Bayesian methods more accessible within epidemiology.

Going forward, he will focus on integrating deep learning models within inference pipelines, to accelerate model calibration across a wide array of Bayesian approaches, including MCMC, ABC, and filtering methods.

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.