Sergio Elizondo-Gonzlezis an associate of the Knowledge Transfer Partnership (KTP) programme by Innovate UK. He works with Heriot-Watt University and Upside Energy Ltd. performing applied research in data science and machine learning in order to provide effective balancing services to the UK National Grid. Before this, Sergio obtained his PhD Informatics in 2017 from the University of Edinburgh, Scotland, where he worked in the areas of multi-agent systems and algorithmic mechanism design; the focus of his research was on designing suitable market-based coordination mechanisms for agent-based domestic demand response in low-carbon electricity grids (or a Smart Grid). From 2006 to 2011, he worked as a consultant and software engineer for a company that provided IT solutions for logistics providers, stevedoring companies, manufacturing plants, and custom brokers, in the USA and Mexico. In 2011 he earned an MSc Industrial Engineering with specialisation in logistics and supply chain management, from the University of Monterrey, Mexico. From 2004 to 2005, he worked as an IT business process analyst and QA software engineer for a steel manufacturing company, helping shape an in-house ERP software. In 2005, he received a BSc (Hons) Computer Science with focus on software engineering from the University of Monterrey, Mexico.