AI research scientist working on accelerating the drug design process using tools from machine learning. The focus of my work is on uncertainty quantification for machine learning models, and using this for Bayesian Optimization/Active Learning applied to compound selection. Other areas of interest include connecting machine learning and PKPD modelling.I am a core contributor to Molflux https://exscientia.github.io/molflux/ - an open source package for molecular predictive modelling For details of my academic publications, see here: https://scholar.google.co.uk/citations?user=3YLe4roAAAAJ