Advances in Computational Approaches to Antimicrobial Resistance

AMR 618 x 384

Antimicrobial resistance is one of the most pressing global health challenges, and computational approaches are playing an increasingly important role in understanding resistance and accelerating the discovery of new interventions. Join us at Brunel University of London on Wednesday 4 November 2026 for a one-day symposium showcasing advances in computational approaches to antimicrobial resistance. The event will bring together researchers working across computational biology, molecular modelling, structural biology, artificial intelligence, genomics and antimicrobial research. The programme will feature invited talks highlighting cutting-edge research, alongside opportunities for discussion, networking and the development of new collaborations. Researchers at all career stages from academia, industry and partner organisations are warmly invited to attend.

The symposium is hosted by Brunel’s Antimicrobial Innovations Centre (AMIC) and organised in partnership with CCPBioSim and the Molecular Graphics and Modelling Society (MGMS).

Confirmed speakers so far:

  • Paul Finn, Oxford Drug Design

  • Tania Dottorini, King’s College London

  • Marc van der Kamp, University of Bristol

  • Shozeb Haider, University College London 

  • Angelo Frei, University of York 

 Outline Schedule:

TimeSession
09:30–09:45 Registration
09:45–10:00 Welcome and introduction
10:00–10:40 Speaker 1
10:40–11:00 Poster flash talks
11:00–11:30 Morning coffee, networking and poster viewing
11:30–12:10 Speaker 2
12:10–12:50 Speaker 3
12:50–14:00 Lunch, poster viewing and networking
14:00–14:40 Speaker 4
14:40–15:20 Speaker 5
15:20–15:50 Afternoon coffee, networking and poster viewing
15:50–16:30 Speaker 6
16:30–17:00 Poster voting and best poster prize
17:00–18:00 Reception and networking

Registration fee and payment

A nominal registration fee of £10 is required to confirm your place at the symposium. Please complete payment and registration using the following links:

Registration Form

Payment link 

When making your payment, please enter the following reference details:

Reference GL (left box): 1440
Reference GL (right box): 10090109

The complete reference should therefore appear as: 1440-10090109.

Contact: Michelle.Sahai@brunel.ac.uk