Alin Morariu

Personal website, blog, and more

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Hi, I’m Alin! Welcome to my website. I will be using this site as a way to display some of my work and interests. You can find some of my projects, talks, and the occasional blog post about stuff I’ve found cool and thought was worth sharing.

A bit about me

I am a Senior Research Associate in MARS at Lancaster University. Generally, my research focuses on developing Bayesian inference methods and computational tools for infectious disease modelling. This includes topics in:

  • Markov Chain Monte Carlo (including data augmentation)
  • Filtering algorithms
  • Spatio-temporal models
  • Deep-learning methods for accelerated inference (neural posterior estimators, diffusion models)

Research interests

Epidemic models provide useful insight into how we can manage the spread of disease in both human and animal populations. They can be powerful tools for public policy and pose interesting computational challenges.

Bayesian methods provide robust estimation for complex models where analytical solutions are often infeasible. They allow for exploration of high-dimensional parameter spaces

One of the best ways to increase the efficiency of fitting models is to take advantage of modern hardware like GPUs and HPC clusters. This can be done by implementing algorithms so they can be run in parallel across more than one device.


If you have any questions about these please get in touch!