The Natural Sciences Research Showcase 2026 is hosting a poster competition in which a panel of experts will evaluate 12 posters presented by PhD students across our Faculty. The judges will be the Directors of Postgraduate Studies of the five FoNS departments or an academic representative.  They will decide two of the three award categories ('Best poster presenter' and the 'Runner-up poster presenter'), and Imperial staff and students will be able to contribute to the 'People's Choice Award' by submitting their vote online.

All members of Imperial College London are invited to vote for which poster they think should win. 

Posters will be on display on 23 September 2026 in SAFB 120, Sir Alexander Fleming Building (South Kensington campus), and the PhD students will be presenting their posters between 12.30-13.40 (lunch will be provided). Imperial staff and students can vote, starting 9 September 2026. Votes will close on 23 September, 14.00. 

Prizes will be awarded at 17.30 on the day of the Natural Sciences Research Showcase. You can find out more on our event page.

 View the posters - you will need to log into your Box account with you Imperial username and password!

1.        Tsun Lam Leong, Department of Life Sciences

          Quantitative Irreversible Tethering for the Screening of Covalent Fragments Against UBE3C

2.       Izzy Thompson, Department of Life Sciences

         The Role of Mycorrhizas in Nature-Based Interventions for Accelerated Carbon Capture in Woodlands

3.       Diana Barreiros Jorge, Department of Life Sciences

         Exploring engineering biology approaches inseaweed biorefineries to produce value-added chemicals

4.      Harriet Eyles, Centre for Environmental Policy

        Attributing Temporally Compounding Events: A Study on Kenya

5.      Paul Chung, Centre for Environmental Policy

         Evaluating dryland restoration through knowledge pluralism

6.       Cesar Silva de Freitas, Department of Physics

         Containing an artificial star:Magnetising Inertial Confinement Fusionfor a clean, carbon-free future

7.       Shana Winston, Department of Physics

         Towards error-mitigated Gaussian Boson Sampling with Unitary Averaging

8.      Ashley Turner, Department of Mathematics

         Magnitude-Preserving Autoencoders

9.      Daniel Salnikov, Department of Mathematics

         The MAPS Algorithm: Fast Model-Agnostic and Distribution-Free Prediction Sets for Supervised Learning

10.     Marie Houot, Department of Chemistry

       Mechanistic Insights into Photomultiplication Organic Photodetectors Through Time-Resolved Spectroscopical and Optoelectronic Techniques

11.     Thea Preston, Department of Chemistry

       Design of Next Generation Cross-Coupling Catalysts through Experimental & Computational Parameterisation

12.     Aiden Mcguirk, Department of Chemistry

         Towards the Automated Discovery of Porous Liquids