Our team

I joined EPCC as an Applications Consultant in October 2022. Prior to this, I completed a master's in Mathematical and Theoretical Physics at Oxford, and a PhD in Theoretical Physics at Edinburgh, working on lattice simulations of holographic cosmological models.

In my spare time, I enjoy rock climbing, playing badminton, and aspiring to win pub quizzes

I joined EPCC in early 2023, just after completing my PhD in CFD development for maritime applications at the University of Southampton and MARIN (Maritime Research Institute Netherlands). My research focused on improving the trade-offs between solution accuracy and parallel performance for complex simulations. Such simulations may include, for example, the motion of a ship in waves with rotating propellers and moving rudders.

I started work at EPCC as an HPC applications consultant in 2019. My background is in computational astrophysics, focusing on star formation and galactic dynamics, having completed my undergraduate degree, PhD and a postdoctoral position at the University of St Andrews. Nothing quite beats being able to make a nice movie at the end of a star formation simulation.

Before joining EPCC in 2023, I completed my MEng in computer science at the University of Manchester. I have a background in computer vision and spent a year at AstraZeneca using machine learning for early drug research.

I joined EPCC in November 2020, working on the Data SlipStream, involving processing of Earth observation satellite data to track forestation dynamics, and Materials and Molecular Modelling (MMM) Exascale Design and Development, looking at taking MMM computation to the exascale.

I joined EPCC in November 2023.  I previously graduated from the University of Dundee in 2020 with a BSc in Physics with Astrophysics, with the focus of the final dissertation being the evolution of the orbits of Jupiter Mass exoplanets through tidal migration.

I joined EPCC in January 2022, while writing up my PhD thesis in Monte Carlo modelling of Raman spectroscopy to improve breast cancer detection, at the University of Exeter. Prior to this, I completed an MPhys integrated Masters in Astrophysics at the University of St Andrews. In my free time, I like to go for runs and read.

I joined EPCC in 2023 to work on Data Science projects after completing a Masters in Computer Science in Bonn, Germany. I love to spend my free time playing board games, going for long walks, and gardening.

I joined the ACF team located at Easter Bush in February of 2018, although I have been involved on and off with the team here since 2016. In my role of Data Centre Manager I am responsible for managing the Mechanical/Electrical plant & services, Security, and general site management duties to ensure we minimise risk to the on-site services and ensure they operate to their best capability and efficacy.

I joined EPCC as an Applications Consultant in 2021 alongside writing up my PhD Thesis in ‘Data Science for Health Technology Assessment’ at the University of Edinburgh’s Cancer Research UK Edinburgh Centre. This project is part of the Edinburgh Cancer Information Modernisation Programme with the overarching goal as to further advance health data intelligence capacity building in the region.

I graduated in 2005 from St Catharine's College, Cambridge with an MSci in Natural Sciences and then moved to the School of Physics here in Edinburgh where I completed a PhD in soft matter physics. After my PhD, I worked as a postdoc in UCL's Department of Chemistry on simulation of blood flow in the human body using lattice-Boltzmann methods and high performance computing.

I joined EPCC in November 2020 and work in the National Safe Haven on ISARIC-4C/ODAP (Covid-19 and other emerging outbreaks) and S-ADR (Scottish Administrative Data Research).  We provide the secure curation, linkage and creation of data extracts for researchers, working closely with external partners (study investigators, eDRIS (Public Health Scotland), NHS England, NRS etc) to ensure requisite governance at each stage.  

I previously worked as a Clinical Trial Manager at Edinburgh University, Data Manager at a GP practice and Computer Programmer in the financial sector, after gaining an MSc in Computation from UMIST.

I am a Chancellor’s Fellow within EPCC, where I work on accelerating high-fidelity simulations of marine energy systems through a combination of data-driven techniques and novel parallel computing strategies. My background is primarily in computational fluid dynamics (e.g. smoothed particle hydrodynamics, lattice Boltzmann method, high-order compact finite differences), but also includes high-performance computing, flow control, optimisation, uncertainty quantification and data-driven engineering. Aside from research, my main interests are travel and sport (both watching and participating). In particular, I am especially keen on rugby, football, triathlon (not so much the swimming) and golf, although I follow a few others as well.

I am a software applications consultant with a strong track record in leading, developing, and delivering innovative software solutions for both commercial sector and academic research. My expertise lies in Artificial Intelligence, Machine Learning, and Data Management.

I joined the application group in February 2023.

My background is in computational quantum many-body physics.

I obtained a PhD in physics from the University of Trento and later joined Newcastle University as a research assistant.

Prof. Mark Parsons joined EPCC, the supercomputing centre at The University of Edinburgh, in 1994 as a software developer working on several industrial contracts following a PhD in Particle Physics undertaken on the LEP accelerator at CERN in Geneva.