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.

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.

Cameron McAllister – PhD Student

Cameron grew up in Ellesmere Port near Liverpool and completed his MSci in Physics at the University of Bristol (2020). For his project Cameron is performing single protein spectroscopy using an Enhanced Acoustic Raman (EAR) spectroscopy experiment and will use molecular dynamics simulations to generate more accurate theoretical predictions of proteins’ EAR spectra. Cameron is part of the SOFI2 CDT program, and is co-supervised by Dr. Beth Bromley and Prof. Kevin Weatherill.

Louis Sayer – L4 Student

Louis is a L4 Student in Durham’s Department of Physics. For his project, he is developing and testing our machine learning method, molearn, to sample protein conformational spaces.

Saabir Petker – L4 Student

Saabir is a L4 Student in Durham’s Department of Physics. For his project, he is benchmarking and improving our protein-protein docking engine, JabberDock.


  • Lucy Vost, Masters Student, 2020/21 [PhD student @ University of Oxford]
  • Lucas Rudden, PhD student, 2017/21 [PDRA @ Swiss Federal Institute of Technology Lausanne (EPFL)]
  • Dr. Venkata Krishnan Ramaswamy, PDRA, 2018/21 [researcher @ Cresset]
  • George Carsley, Masters Student, 2019/20
  • Samuel Musson, Masters Student, 2018/19 [PhD student @Durham University]

Joining the group

Prospective postgraduate students are encouraged to explore funding opportunities such as those detailed in Funding for Postgraduate Research.

Currently no funded PDRA position is available. Outstanding candidates with a strong background in Physics, Computer Science, Computational Chemistry/Biology are encouraged to contact Matteo providing their CV and a short statement of research interests.