Our team

I completed my BSc in Statistics and Actuarial Science in Greece back in 2010. Then I moved to Lancaster where I did my MSc and PhD in Statistics focusing on computational and Bayesian statistics.

In 2015 I joined EPCC as a Data Science Application developer. During my time here I have been working on industrial data science projects and have also been involved in teaching on the MSc course.

I joined EPCC in 2013 and since then have worked all HPC services hosted at EPCC as well as data services such as EIDF. I work in the Systems team and have a systems administration background. I currently work primarily as a project manager supporting the deployment of changes and services.

Pronouns: he/him

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 2024, having previously worked in the  University of Edinburgh Bayes Centre Education Team.

I joined EPCC in November 2020, initially working on Data Slipstream, a project to build data pipelines around Earth Observation satellite data and derived data products, using EIDF. I have since worked on a number of projects involving data pipelines, taught on the EPCC MSc programmes, and worked in both on-prem cloud and HPC paradigms. Most recently I have joined LSST:UK as the UK Data Release Production Scientist (involving global HPC-like compute infrastructure) and a member of the UK IDAC RSP team (involving research cloud SaaS), and contributing to the Vera C. Rubin Observatory in Chile.

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 after completing a Masters in Computer Science in Bonn, Germany. Since then, I have worked on a range of Machine Learning and Data Science projects related to health data, meta science and most recently climate and weather. In my free time, I enjoy playing board games, going for long walks, and gardening.

I joined EPCC as an Applications Consultant in 2021. I am currently expecting a PhD in Clinical Data Science (breast oncology) that is complemented by my highly multidisciplinary training background spanning across Biomedical Engineering, ICT, Business and recently, Space Sciences. Domains of interests including non-conventional computing, accelerator technologies, space and satellites, AI/ ML applications as well as information, health and biosecurity. I am aspiring to establishing myself at the intersection of ‘space, life and machines’. In my ‘free’ time, I love being physically active too, otherwise delving into interesting books, exploring music creation or experimenting with culinary arts.

My primary interest is in mesoscale simulation methods for fluid dynamics, particularly the lattice Boltzmann method, and accelerating their implementations on parallel computers. With a background in computational physics, I am generally interested in applying HPC to scientific problems, particularly use of accelerators, performance portability, and software engineering. I also teach on EPCC’s MSc programmes.

I am an applications architect, with a focus on machine learning and data analytics using high performance computing. I contribute to a wide range of R&D and consulting projects, collaborating with both industry and academia. In parallel, I coach and supervise TeamEPCC students for international competitions.

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.