After a long spell the group was able to meet in-person for a dinner to celebrate Sofia's PhD viva, and to welcome new group members Anna, Eva and Finlay. Group photo featuring guest visitor Matteo Degiacomi and alumnus Antonia Mey.
Well done to Sofia Bariami for defending her PhD thesis with minor corrections on Nov 2nd ! Sofia has recently moved on to Cresset for an industrial postdoc position.
Welcome to Finlay Clark, Anna Herz and Evangelia Notari who joined the group to pursue PhD projects. Finlay and Anna are working on binding free energy calculation methods, whereas Eva is working on peptide design methods.
Well done to 1st year PhD student Adele Hardie for winning a poster prize at the 2021 CCP5 Summer School
. Adele is working on allosteric fragment-based drug design methodologies.
Well done to Sofia Bariami who recently published her first (joint first) publication from her PhD studies together with Daniel Cole's team at Newcastle University. Read Implementation of the QUBE Force Field in SOMD for High-Throughput Alchemical Free-Energy Calculations at the Journal of Chemical Information and Modeling.
Congratulations to Jenke who was awarded a poster prize at the virtual Young Modeller's Forum meeting on February 12th for his poster ''Data-driven estimation of optimally-designed perturbation networks in relative alchemical free energy calculations''. Jenke's work is sponsored by Cresset.
Well done to Michail for defending the first Michel group Zoom PhD viva last week ! Of course we had to celebrate online. Michail has already moved on to a postdoc position in Greece. 
We have openings for several Phd studentships starting in September 2021. See the lab's homepage for details.
Well done to ex-group members Jordi and Salomé who have now published their work on virtual reality visualisation for ensemble molecular dynamics simulations workflows in the Journal of Chemical Information and Modeling.
Please see this opportunity if you are interested in a PhD position to carry out research at the interface of molecular dynamics simulation and machine learning for de novo protein design.