Dr Nick Brown is a research fellow at EPCC, University of Edinburgh, with interests in data engineering, machine learning, parallel programming language design, novel compute architectures, 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. Nick is a course organiser on EPCC's MSc in HPC and data science courses, and supervises MSc and PhD students.