Dr. Daniel Cole<\/h2>\n\n
\n \n Before taking up my post at Newcastle, I held a Marie Curie international\noutgoing fellowship, hosted by\nProf. William Jorgensen<\/a> at Yale\nUniversity and Prof. Mike\nPayne<\/a> at the University of Cambridge. I have also previously worked as a\nresearch associate at the National University of Singapore and the\nUniversity of Cambridge.<\/p>\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Mateusz (Mat) Bieniek (Research Software Engineer, 2021-2024) originally\nstudied computer science which is when he became interested in genetics\nand molecular biology. After working briefly as a Java Developer and\nundertaking a masters degree in Bioinformatics, Mat decided to focus on\nmolecular dynamics simulations for his Ph.D. at the Francis Crick\nInstitute. His main topic of interest was Fibronectin, the beginnings of\nfibrillogenesis and how it is related to protein adsorption. During his\nPh.D. he also made several contributions to the\nMDAnalysis<\/a> package as well as\nPyMOL as part of the Warren L. DeLano Memorial PyMOL Open-Source\nFellowship<\/em>. After his PhD he joined Peter Coveney’s Computational\nChemistry Group at UCL where he worked on the relative binding free energy\nsoftware TIES<\/a>,\nhelping to tailor the dual-topology atom mapping among other projects.<\/p>\n\n \n \n Josh Littlefair (Ph.D. student, co-supervised with\nDr. Tom Penfold<\/a>,\n2016-2021). Josh joined us in October 2016 after graduating with a BSc in\nPhysics with Astrophysics from Northumbria University. His research focuses\non the use of molecular mechanics (MM) software to simulate ultrafast X-ray\nscattering profiles of solutions, on timescales comparable with X-ray\nfree-electron laser (XFEL) measurements.<\/p>\n\n \n \n \n \n \n \n \n \n <\/p>\n <\/p>","protected":false},"excerpt":{"rendered":" We are a computational\/theoretical research group located in the Bedson building at Newcastle University. Our research is aimed at the application of computational physics and chemistry to interesting and industrially-relevant questions in the biological and medicinal sciences. Much of our … Continue reading ![\"Dr.](\"https:\/\/blogs.ncl.ac.uk\/danielcole\/files\/2019\/06\/IMG_4072-e1561214414959.jpg\")
\n <\/a>\n I am a Reader &\n UKRI Future Leaders Fellow<\/a>\n in computational medicinal chemistry in the\n School of Natural and Environmental Sciences<\/a>,\n Newcastle University.<\/p>\n\nAcademic Roles<\/h3>\n
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Qualifications<\/h3>\n
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Postdoctoral Researchers<\/h2>\n\n
![\"Finlay](\"https:\/\/blogs.ncl.ac.uk\/danielcole\/files\/2025\/03\/profile_photo.jpg\")
\n <\/a>\n Finlay Clark (Ph.D. student, co-supervised with Prof. Julien Michel,\n 2021-2025; Research Associate, 2025-present). Finlay completed an M.Chem.\n and doctoral research (principal supervisor\n Prof. Julien Michel<\/a>) at the\n University of Edinburgh. In collaboration with AstraZeneca, he worked on\n improving the automation, efficiency, and robustness of alchemical\n absolute binding free energy\n calculations<\/a>. Currently, he is working on increasing the accuracy of\n transferable and system-specific force fields through improved fitting\n procedures and functional forms, in collaboration with the\n Open Force Field Initiative<\/a>. The\n resulting force fields will be validated with binding free energy\n calculations and applied in automated workflows for molecular design.<\/p>\n\n![\"Jo\u00e3o](\"https:\/\/blogs.ncl.ac.uk\/danielcole\/files\/2026\/02\/JoaoMorado_02270-1024x1024.jpg\")
\n <\/a>\n Jo\u00e3o Morado (Research Associate, 2026-present). Jo\u00e3o completed his B.Sc.\n in Biochemistry at the University of Porto, before graduating with a\n European Master’s degree in Theoretical Chemistry and Computational\n Modelling from the Autonomous University of Madrid, followed by an M.Sc. in\n Theoretical and Computational Chemistry from the University of Oxford. He\n read for a Ph.D. in Theory and Modelling in Chemical Sciences at the\n University of Southampton, in partnership with Astex and AstraZeneca. He\n subsequently undertook postdoctoral positions at University College London\n and the University of Edinburgh, and worked as an RSE at the National\n Oceanography Centre. His overarching research interests include force field\n development, machine learning potentials,\n embedding schemes for\n multiscale modelling<\/a>, and biomolecular simulations. Currently, he is\n working on the development of accurate and efficient methodologies for\n fitting nonbonded parameters using ab initio reference data surrogates.<\/p>\n\nPhD Students<\/h2>\n\n
![\"Hayoung](\"https:\/\/blogs.ncl.ac.uk\/danielcole\/files\/2026\/09\/IMG_0722.png\")
\n <\/a>\nHayoung Choi (Ph.D. Student, co-supervised with Ioan-Bogdan Magd\u0103u<\/a>, 2026-present). Hayoung completed her B.A. in Natural Sciences and M.Sci. in Biochemistry at University of Cambridge, where she engaged in research projects to investigate genome organisation using coarse-grained chromatin model. Hayoung’s PhD project is in collaboration with SandboxAQ<\/a> and investigates the use of machine learning interatomic potentials as sources of training data for classical non-bonded interactions.\u00a0<\/p>\n\n![\"Asma](\"https:\/\/blogs.ncl.ac.uk\/danielcole\/files\/2023\/01\/Screenshot-2023-01-14-at-10.49.40.png\")
\n <\/a>\n Asma Feriel Khoualdi (Ph.D. student, 2023-present, with\n Dr Matteo Degiacomi<\/a> and\n Prof Wyatt Yue<\/a>). Asma Feriel\n completed her B.Sc. in Physiology at McGill University, Canada, before\n graduating with an M.Sc. in Bioinformatics from the Universit\u00e9 de Montr\u00e9al.\n Asma Feriel’s most recent thesis project\/publication was on the application\n of atomistics and coarse-grained molecular simulation and docking in the\n computational prediction of phosphoinositide binding to\n hyperpolarization-activated cyclic-nucleotide gated (HCN1) channels. Her\n current research with the Molecular Sciences for Medicine (MoSMed) CDT aims\n to employ machine learning and knowledge of structure-based drug design\n towards enhanced understanding of protein dynamics and of flexible, rather\n than just static, binding pockets.<\/p>\n\n![\"Chi](\"https:\/\/blogs.ncl.ac.uk\/danielcole\/files\/2025\/01\/photo-.jpeg\")
\n <\/a>\n Chi Kit Ng (Ph.D. student, 2024-present, with\n Dr\n Jichun Li<\/a> and\n Prof Paul\n Race<\/a>). Chi Kit completed his M.Sc. in Computer Science with distinction\n from Newcastle University. His research focuses on employing machine\n learning and structure-based drug design to gain deeper insights into\n binding pose prediction and inhibitor design. By improving automated\n workflows for molecule design and deploying machine learning, Chi Kit aims\n to enhance the drug discovery process. His most recent publication,\n “Exploring\n AI-Driven Drug Repurposing Strategies Targeting ErbB Signalling Pathway for\n Brain Cancer Therapy”<\/a><\/em>, was on integrating AI and computational\n methods for drug repurposing.<\/p>\n\nAlumni<\/h2>\n\n
![\"Charlie](\"https:\/\/blogs.ncl.ac.uk\/danielcole\/files\/2023\/09\/image.png\")
\n <\/a>\n Charlie Adams (Postdoctoral Research Associate, 2023-2025). Charlie\n completed his M.Eng. in Chemical and Biological Engineering at Sheffield\n University, with a particular interest in modelling multi-scale processes.\n His Ph.D. in computational chemistry, in collaboration with Rolls Royce,\n focused on building a chemical reaction mechanism for the oxidative\n degradation of jet fuel in the liquid phase. He now joins us as a Knowledge\n Transfer Partnership Associate, working alongside the AI startup\n Kuano<\/a> to utilise deep learning to build\n state-of-the-art charge models for improved pharmacophore modelling.<\/p>\n\n![\"Josh](\"https:\/\/blogs.ncl.ac.uk\/danielcole\/files\/2017\/12\/Image.png-e1518954891512-150x150.jpeg\")
\n <\/a>\n Josh Horton (Ph.D. student, 2016-2019; Postdoctoral Research Associate,\n 2020-2024). Josh received a BSc in Physics and Mathematics from the\n University of Liverpool, and completed his Ph.D. at Newcastle University.\n He worked as a researcher with Lancaster University and the\n Open Force Field Initiative<\/a> before\n returning to Newcastle. His research goal is to improve the accuracy and\n accessibility of free energy perturbation calculations through the\n automated re-parameterisation of force fields from high accuracy quantum\n chemistry calculations that are specific to the system under study.<\/p>\n\n![\"Vadiraj](\"https:\/\/blogs.ncl.ac.uk\/danielcole\/files\/2018\/10\/Screen-Shot-2018-10-10-at-21.42.48-150x150.png\")
\n <\/a>\n Dr Vadiraj Kurdekar (Postdoctoral Research Associate, 2018-2019). Vadiraj\n earned his PhD in the field of Medicinal Chemistry from Birla Institute of\n Technology and Sciences, Pilani, India. Before joining us he worked in the\n Centre for Chemical Biology and\n Therapeutics<\/a>, inStem, India, as Senior Research Scientist in\n Computational Chemistry, and has contributed to various drug discovery\n projects focussed on identifying protein-protein interaction inhibitors.\n His research interests are in the understanding of the role of water\n molecules in the binding site and the design of novel small molecules that\n perturb biomolecular interactions.<\/p>\n\n![\"Lauren](\"https:\/\/blogs.ncl.ac.uk\/danielcole\/files\/2017\/12\/IMG_1877_edited-150x150.jpg\")
\n <\/a>\n Lauren Nelson (Ph.D. student, 2017-2021). After studying for an MChem in\n Chemistry for Drug Discovery at the University of Bradford, Lauren pursued\n an MSc in Chemical Biology and Drug Design at the University of Leeds.\n Lauren works on testing our new force field protocols in free energy\n calculations through collaborative projects with the\n Newcastle University\n Centre for Cancer<\/a> and University of Edinburgh.<\/p>\n\n![\"Chris](\"https:\/\/blogs.ncl.ac.uk\/danielcole\/files\/2018\/10\/rsz_website_pic-150x150.jpg\")
\n <\/a>\n Chris Ringrose (Ph.D. student, 2018-2022). Chris began studying for a BSc\n in Natural Sciences at the University of Leicester, later transferring to\n the multi-disciplinary MSci where he specialised in physics. His research\n focusses on developing our Quantum Mechanical Bespoke Kit\n (QUBEKit<\/a>) to improve\n the accuracy and accessibility of force field design for molecular\n modelling applications.<\/p>\n\n![\"Rachael](\"https:\/\/blogs.ncl.ac.uk\/danielcole\/files\/2020\/01\/photoforwebsite-150x150.jpg\")
\n <\/a>\n Rachael Pirie (Ph.D. Student, 2019-2023, with\n Dr\n Stuart Hall<\/a> and\n Dr\n Matthew Forshaw<\/a>). Rachael completed her MChem in Chemistry with\n Computational Chemistry at Heriot-Watt University. Her research aims to\n develop a new surface-based molecular descriptor for use in virtual\n screening with machine learning, and to apply this method to projects of\n interest to the\n Newcastle University\n Centre for Cancer<\/a>.<\/p>\n\n![\"Ben](\"https:\/\/blogs.ncl.ac.uk\/danielcole\/files\/2020\/12\/thumbnail_20201120_154926-e1606841742629-136x150.jpg\")
\n <\/a>\n Ben Cree (Ph.D. Student, 2020-2024, with\n Dr\n Natalie Tatum<\/a> and\n Prof\n Ehmke Pohl<\/a>). Ben received his MChem degree from Durham University.\n During his Masters he explored atomistic and coarse-grained simulations of\n bent-core liquid crystals. His Ph.D. research with the Molecular Sciences\n for Medicine (MoSMed) CDT aims to utilise molecular dynamics and structural\n biology software for drug discovery by creating automated workflows for\n fragment hit-to-lead optimisation.<\/p>\n\nAffiliated Members<\/h2>\n
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