Joe Farrington

I am currently a Data Scientist at RLDatix, using machine learning and optimisation to improve healthcare operations.

Research

My PhD research at University College London focused on using machine learning to support the management of blood inventory. I was supervised by Dr Kezhi (Ken) Li, Dr Wai Keong Wong, and Prof Martin Utley.

I was awarded the Operational Research Society's Doctoral Award for the "Most Distinguished Body of Research leading to the Award of a Doctorate in the field of OR" in 2024.

My research was generously supported by UKRI training grant EP/S021612/1 and the NIHR UCLH BRC.

Background

I completed a BA in Natural Sciences at Gonville and Caius College, University of Cambridge in 2010 and an MSc in Machine Learning at University College London in 2019.

I qualified as a chartered accountant (ACA) in 2014 while working in external audit at Crowe, and subsequently spent four years as a forensic accountant at Deloitte.

Open source software

MDPax

MDPax is a Python package for solving large-scale Markov Decision Process (MDP) problems, leveraging JAX's support for vectorization, parallelization, and just-in-time (JIT) compilation on GPUs. It is designed for researchers and practitioners who want to solve large MDPs but don't want to become experts in GPU programming.