Dr. Matteo T. Degiacomi – Associate Professor
Matteo, holds a MSc in Computer Science and a PhD in life sciences from EPFL (Switzerland). Following a PDRA in the Chemistry Department of the University of Oxford, in 2017 he joined Durham University as EPSRC Early Career Fellow. More information here.
Dr. Venkata Krishnan Ramaswamy – PDRA
Venkat, born in Bangalore (India), obtained his M.S. in Pharmacoinformatics from NIPER (S.A.S. Nagar, India) in 2013. He then joined the University of Cagliari (Italy) as a Marie Skłodowska-Curie Fellow for his doctoral research, followed by a postdoctoral fellowship funded by the Innovative Medicines Initiative Project. His expertise includes cheminformatics, homology modelling, molecular docking and molecular dynamics to study protein dynamics and protein-ligand interactions. Venkat is developing a convolutional neural network to characterize proteins conformational space.
Lucas Rudden – PhD Student
Lucas grew up in London and completed his Joint Honours MSci in Chemistry and Physics in Durham University (2017). Lucas is developing volumetric descriptors accounting for both dynamics and electrostatics in a protein-protein dockin scenario. In this context, he is the developer of JabberDock, a protein docking algorithm accommodating for local dynamics.
Samuel Musson – PhD Student
Sam grew up in rural Lincolnshire and completed his Master of Chemistry (MChem) at Durham University (2019). After carrying out his Master’s Research Project with Matteo, he was accepted onto the SOFI2 CDT program. Sam re-join the group in 2020 to look at the applications of deep learning methods with respect to the analysis and exploration of a proteins conformation landscape.
Lucy Vost – Masters Student
Lucy is a L4 Student in Durham’s Physics Department. For her project, she is using machine learning to describe the conformational space of the protein SurA.
- Samuel Musson, Masters Student, 2018/19
- George Carsley, Masters Student, 2019/20
Joining the group
Currently no funded position is available. Outstanding candidates with a strong background in Physics, Computer Science, Computational Chemistry/Biology are encouraged to contact contact Matteo providing their CV and a short statement of research interests. Prospective postgraduate students are encouraged to explore funding opportunities such as those detailed in Funding for Postgraduate Research.