Instructors and speakers
We are very lucky to have a great range of instructors and speakers lined up for the Winter School.
Accelerate Programme
Finley Griffin
Machine Learning Engineer
Fin is a machine learning engineer with experience in AI for theoretical physics research and software engineering in industry. Before joining Accelerate, he completed his integrated Master’s in Physics at the University of Oxford. Fin is particularly interested in how software engineering principles and MLOps can be used to build infrastructure that makes research software more scalable and reproducible. He is also interested in applying machine learning to the life sciences.
Radzim Sendyka
Machine Learning Engineer
Radzim is a machine learning engineer in the Department of Computer Science and Technology, where he explores the practical applications of data science and machine learning in real-world contexts, with emphasis on collaboration with domain experts from various scientific fields, like Assyriology.
Ryan Daniels
Senior Machine Learning Engineer
Ryan is a machine learning engineer and is interested in driving forward scientific research which is grounded in excellent software engineering and machine learning fundamentals. He has a particular focus in LLMs, and serving LLMs to the scientific community. Before working at Accelerate, Ryan’s research interests explored unconventional approaches to computing using complex physical devices from the world of condensed matter physics.
Oxford Research Software Engineering
Jack Leland
Senior Research Software Engineer
Jack has a background in computational physics and software engineering, working as part of the support team for the Schmidt AI in Science Fellowship at the university. After working as a software developer in industry, Jack completed a PhD in Fusion Plasma Physics in 2021 at the Culham Centre for Fusion Energy where he found a love for developing software tools for facilitating research. Following this he spent a number of years working as a Software Developer at CEDA (the Centre for Environmental Data Analysis) on the JASMIN supercomputer, before joining the Oxford Research Software Engineering team in 2024 to get back closer to research. Since joining he’s worked on a range of projects including the SpeedyWeather.jl atmospheric model and the ATLAS Sky Survey database.
Oliver King
Senior Research Software Engineer
Oliver has been working in the OxRSE group since 2024, where he helps the Schmidt AI in Science Fellows to produce sustainable software and to integrate AI and machine learning into their research outputs. Oliver has a multidisciplinary background that includes biology and materials science. Prior to becoming a software engineer, he pursued lab-based postdoctoral research in protein structural biology and early-stage drug discovery. Following this, Oliver worked at the UK’s national synchrotron facility, Diamond Light Source, where he contributed both to the development of machine learning tools for the analysis of 3D imaging data and to the automation of protein crystallisation experiment analysis. In addition, he has worked on citizen science projects to annotate large image datasets and outreach programmes to engage schoolchildren with science.
NVIDIA
Paul Graham
Senior Solutions Architect
Paul Graham joined NVIDIA in 2018 and has responsibility for supporting customers and partners in delivering accelerated solutions for the Higher Education, High Performance Computing and AI communities in the UK. As well as providing advice on making the best use of the NVIDIA platform, Paul teaches on how to program for GPUs, mentors at hackathons and regularly engages with research software engineering groups. Before NVIDIA, Paul spent 20 years at the UK national high performance computing centre, EPCC at the University of Edinburgh, working on a broad range of projects for both academia and industry.