Skip to content
Fowler Lab
Fowler Lab

Predicting antimicrobial resistance

  • News
  • Publications
  • Members
  • Research
    • Overview
    • Manifesto
    • Software
    • Reproducibility
  • Teaching
  • Contact
    • PhDs
  • Wiki
Fowler Lab
Fowler Lab

Predicting antimicrobial resistance

Alice Brankin wins NDM Prize

Philip Fowler, 18th November 202118th November 2021

Congratulations to Alice who last night was awarded an NDM prize for the work she’s done in the third year of her DPhil!

Very well deserved – despite locating away from Oxford due to the pandemic Alice has, amongst other things, become a key member of the CRyPTIC analysis group of the past year.

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

Post navigation

Previous post
Next post

Related Posts

clinical microbiology

ESM Annual Congress 2026

26th June 202626th June 2026

Earlier this week the 46th Annual Congress of the European Society of Mycobacteriology was held in Verona,…

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

Philip Fowler appointed as Associate Professor

13th January 202313th January 2023

More good news for the group! Philip was awarded an Associate Professorship by the Nuffield…

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
Privacy & Cookies: This site uses cookies. By continuing to use this website, you agree to their use.

To find out more, including how to control cookies, see here: Cookie Policy
    ©2026 Fowler Lab | WordPress Theme by SuperbThemes