Dr Nick Brown is a research fellow at EPCC with research interests in data engineering, machine learning, parallel programming language design, compilers and runtimes. He is a work package leader in VESTEC, an EU FET HPC project, which aims to fuse HPC with real-time data for urgent decision making and as part of this is responsible for the HPC side of this project. He has worked with both industry and academia, for instance managing a project using machine learning to optimise the interpretation of well log data in the oil and gas industry. He has worked on a number of large scale parallel codes including developing MONC, an atmospheric model used by the UK climate and weather communities which involves novel in-situ data analytics. He is also interested in micro-core architectures, developing ePython, a very small memory footprint Python interpreter with parallel extensions, for many core, low memory chips. Nick is a course organizer on EPCC's MSc in HPC and data science courses, as well as supervising MSc and PhD students.