The CoSInES-Bayes4Health Masterclass on Parallel Computing was hosted at the Department of Mathematics and Statistics, Lancaster University, from the 25th to the 28th of September, 2023. This event was the fourth in the series, after earlier events on the topics of Sequential Monte Carlo, Variational Inference and Optimal Transport. As per usual, the Masterclass is intended in the spirit of sharing knowledge and encouraging collaboration between early-career researchers affiliated with the grants.

The workshop took place over 4 days, with 25 in-person attendees, as well as a small online contingent. The lectures were delivered by a mixture of postdocs on the Bayes4Health and CoSInES grants, and researchers from outside of the grant, coming from Durham, Espoo (Finland) and Lancaster.

The organisation of the event was this time led by Lorenzo Rimella, assisted closely by Sebastiano Grazzi, Tamas Papp and Sam Power. Local organisation was aided by Paul Fearnhead and Kate Haywood. The high-level research programme for the workshop was developed collaboratively by Sebastiano Grazzi, Tamas Papp, Sam Power and Lorenzo Rimella. The lectures themselves were planned and delivered by Chris Jewell (Lancaster University), Darren Wilkinson (Durham University), Daniel Dodd (Lancaster University), Adrien Corenflos (Aalto University), and Lorenzo Rimella (Lancaster University).

The event was again well-received by the audience, who enjoyed the pairing of foundations on parallel computing and functional programming with more contemporary developments, including applications to modern algorithms, machine learning and epidemiology.