Our Sponsors

AMD Link to AMD #

AMD (NASDAQ: AMD) drives innovation in high-performance and AI computing to solve the world’s most important challenges. Today, AMD technology powers billions of experiences across cloud and AI infrastructure, embedded systems, AI PCs and gaming. With a broad portfolio of AI-optimized CPUs, GPUs, networking and software, AMD delivers full-stack AI solutions that provide the performance and scalability needed for a new era of intelligent computing.

Visit the AMD website amd.com

AWS Link to AWS #

From startups to enterprises, AWS has enabled innovation for 20 years. Much like RSEs, AWS continuously innovates on behalf of customers to accelerate their missions. This has made AWS a natural partner for the research community across disciplines and workloads. The Universities of Manchester and Sheffield use Ronin to provide self-service access to managed remote desktops and clusters for researchers. Organizations like the Hartree Centre have chosen AWS for projects, including the Smart Manufacturing Data Hub and the Energy Catapult Sense project. The UCL Centre for Digital Innovation, powered by AWS, helps accelerate translation and impact of research. The RSE community is key to ensuring this use is effective and secure. We’d love to discuss how you could use AWS to innovate - please visit our stand or connect with us at the conference.

Visit the AWS website aws.amazon.com/government-education/research-and-technical-computing

BioFAIR Link to BioFAIR #

BioFAIR is the UK’s national digital research infrastructure for the life sciences, making biological data easier to find, access, share and reuse. Funded by UKRI through BBSRC and MRC, and hosted at the Earlham Institute on Norwich Research Park, BioFAIR is building the connective tissue that lets researchers, data stewards and software engineers work with life science data that is genuinely FAIR (Findable, Accessible, Interoperable and Reusable).

We operate as a Hub-and-Spoke programme. The Hub provides oversight on shared standards, platforms and expertise, while Spokes deliver community-driven capabilities across the UK life science landscape. Our first Spoke, the Methods Commons, is creating a home for reproducible, shareable analysis workflows. Our Knowledge Hub and Data Commons will follow later in 2026.

For the RSE community, BioFAIR is a natural partner. Turning biological data into AI-ready, reproducible research depends on well-engineered software: robust pipelines, versioned workflows, sustainable tooling and open, interoperable standards. These are the skills RSEs bring, and the outcomes BioFAIR exists to enable.

We’re also actively growing the community. Our Fellowship Programme supports emerging leaders working at the intersection of data, software and the life sciences, while our Pathfinder Projects demonstrate FAIR practice in real research settings.

Come and talk to us at RSECon26 about FAIR data, reproducible methods, and how research software engineering underpins the future of life science discovery.

Visit the BioFAIR website biofair.uk

The Alan Turing Institute Link to The Alan Turing Institute #

The Alan Turing Institute is the UK’s national institute for data science and artificial intelligence. Named in honour of Alan Turing, it builds on his pioneering work in mathematics, engineering and computing, which helped lay the foundations of modern data science and AI.

At the Turing, we tackle real-world problems by bringing together computer scientists, engineers, statisticians, mathematicians, ethicists, scientists and colleagues from the humanities.

The Research Engineering Group is a 30-strong team providing software engineering expertise across the Turing’s three grand challenges, which have recently been reorganised around a national resilience focus.

In Defence and National Security, we work on vital projects that help protect the UK, from exploring how AI can autonomously safeguard critical infrastructure to preventing AI models from being used for malicious purposes. AI sovereignty, for example, focuses on ensuring guaranteed access to trusted AI for critical domains such as defence, national security, infrastructure and healthcare.

In Environment and Sustainability, we use AI to transform weather and Earth system forecasting and develop tools that help transport and infrastructure industries decarbonise. FastNet, for example, is a data-driven AI weather prediction model that can produce more accurate forecasts than current systems in a fraction of the time.

In Health, our current focus is transforming personalised healthcare. This includes pioneering digital representations of human hearts to improve care for patients with complex cardiovascular conditions, and using advanced analytics to generate insights into disease, patient and outcome variation.

Fundamental research provides the tools, methods and theory that support delivery across all three grand challenges.

Alongside developing world-class research, the Turing advocates for ethical research and development and leads the public conversation on the societal impact of AI and data science.

Visit the The Alan Turing Institute website turing.ac.uk

DARE UK Link to DARE UK #

DARE UK is a data research infrastructure programme empowering innovators working in partnership with the public to deliver a national network of secure data infrastructures for better research outcomes. Our vision is for all research and innovation in the UK to benefit from seamless, secure use of diverse sensitive data at a pace, efficiency and scale that accelerates research productivity for the public good.

We work with partners across the data research ecosystem to enhance access to sensitive data for research in the public interest through various funded and community-driven initiatives, embedding public involvement and engagement throughout.

Visit the DARE UK website dareuk.org.uk

CAKE NetworkPlus Link to CAKE NetworkPlus #

The Computational Abilities Knowledge Exchange (CAKE) NetworkPlus supports collaboration and community building across the Digital Research Infrastructure (DRI) programme and the UK’s wider large-scale computing landscape. It acts as a central hub, connecting projects, sharing successes and insights, and enabling communities to work together more effectively. CAKE removes the barriers to knowledge exchange. By sharing best practices, tools, and resources, we enable you to focus on connecting, collaborating, and driving progress.

Led by EPCC at the University of Edinburgh, in partnership with Durham University and University of Cambridge, CAKE has received funding through the UKRI Digital Research Infrastructure Programme under project reference UKRI1799.

Visit the CAKE NetworkPlus website cake.ac.uk

Met Office Link to Met Office #

Our vision is to deliver the most trusted weather and climate intelligence in a radically changing world, helping you make better decisions to stay safe and thrive. Achieving this depends on the combination of world-leading science, vast volumes of environmental data and advanced technology, from supercomputing and artificial intelligence through to the software that underpins weather forecasting, climate projections and operational services.

Scientific Software Engineers (SSEs) play a critical role in this work. Equivalent to Research Software Engineers outside the Met Office, SSEs collaborate closely with scientists and colleagues across the organisation to develop, optimise and support the software that powers weather and climate research, products and services.

Our SSE community works across a wide range of challenges: improving the performance of weather and climate models on some of the UK’s most powerful computing platforms; developing tools that help scientists understand our changing climate; advancing the use of data science and AI in environmental prediction; building operational systems that deliver forecasts around the clock; and enabling new scientific discoveries through robust, sustainable software.

We are proud to be part of the wider Research Software Engineering community and value collaboration across academia, government and industry. We look forward to meeting fellow RSEs at RSECon26 and sharing how scientific software engineering is helping shape the future of weather and climate intelligence.

Visit the Met Office website metoffice.gov.uk

The Rosalind Franklin Institute Link to The Rosalind Franklin Institute #

The Rosalind Franklin Institute is a technology institute for life science, creating innovative technologies that transform our understanding of life.

Our technologies, borne out of innovation in physical sciences, create collaborations and new avenues in life science which will lead to new therapeutics and advance our understanding of human biology.

Our interdisciplinary research generates diverse and complex data that must be stored, curated and processed to produce meaningful, data-driven insights. This creates significant computational demands across much of the science undertaken at the Franklin, making Research Software Engineers vital to our work. By running a flexible and scalable digital infrastructure, the RSE team enable scientists to process their data in different ways, on demand, and at the pace their research requires.

Visit the The Rosalind Franklin Institute website rfi.ac.uk

Baskerville Supercomputing Centre Link to Baskerville Supercomputing Centre #

The Baskerville Supercomputing Centre at the University of Birmingham provides access to high-performance computing (HPC) resources, training, and expert support for researchers across the UK, including dedicated assistance from a team of RSEs. We offer a range of services to help researchers make effective use of advanced computing infrastructure and accelerate their research.

Visit the Baskerville Supercomputing Centre website baskerville.ac.uk