Data Science Virtual Poster Competition

FoNS Data Science Poster Competition: winner announced!

The Faculty of Natural Sciences invited its PhD students, Postdocs, Early career researchers and research groups working on the area of Data Science theme to participate at this virtual poster competition (closing date was 30th November). The idea was to bring together those interested in data science, constituencies that are producers/developers of data science methods, those who are users of innovative methods and those that do both. Data Science theme leads, Professors Guy Nason and Sophia Yaliraki would like to thank everyone for their contribution to this poster competition.

The judging panel nominated the top two best posters, and in addition the ‘popular choice’ award saw more than 170 Imperial students and staff voting for their favourite poster.

Congratulations to the winners!

Léonie Stroemich & Florian Song (Department of Chemistry) awarded £500 for best poster: ProteinLens: a user-friendly web-based application to uncover allosteric signalling in structural data
Titus-Stefan Dascalu (Department of Physics) awarded £300 for runner-up poster: Numerical study of proton beam transport through space-charge lens
Jenna Lawson (Department of Life Sciences) awarded £200 as the winner of the ‘Imperial popular choice’ vote: Silent plantations of Costa Rica - Can forestry plantations support acoustic biodiversity as well as native forests? A big data approach (download this poster in order to listen to the audios)

If you would like to learn more about some of these PhD students and find out why they have chosen to focus their research in the area of data science, please read our news. You can check out all the participating posters by clicking on the below links!