DPhil in Computational Discovery Philip Fowler, 23rd January 202323rd January 2023 I have a project advertised as part of the DPhil in Computational Discovery programme at the University of Oxford to start in October 2023. This programme is jointly run with IBM and benefits from their applied research in machine learning and other shared areas of interest. The project (Project 6) aims to develop graph-based convolutional machine learning methods able to integrate protein structure, genetic, chemical and evolutional information and thence predict if specific alleles confer resistance to one (or more) antibiotics. If that sounds interesting and you’d like to study it for your DPhil (i.e. PhD) with me, please apply to the programme directly as all applications are handled centrally. Applications close on 1 March 2023. Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Related group
group Philip Fowler joins Reuben College as a Fellow 18th September 20238th December 2023 Very pleased to announce that I’ve been elected an Official Fellow at Reuben College. The… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More
antimicrobial resistance Updated preprint: predicting pyrazinamide resistance 21st November 20238th December 2023 This study was performed by Josh Carter back in 2019 and we uploaded a preprint… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More
antimicrobial resistance New preprint: Predicting pyrazinamide resistance in M. tuberculosis using a graph convolutional network 29th October 202530th October 2025 In previous work we’ve used “traditional” machine-learning approaches, like XGBoost, to learn and therefore predict… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More