Archontis Giannakidis is currently an Assistant Professor in Data Science with the School of Science and Technology at Nottingham Trent University (NTU), UK. Before NTU, Archontis was a Postdoctoral Researcher with the National Heart and Lung Institute at Imperial College London, London, UK and the Life Sciences Division at Lawrence Berkeley National Laboratory, Berkeley, CA, USA. He received his PhD in Electronic Engineering (Inverse Problems) from University of Surrey, UK, where he was advised by Prof. Maria Petrou. He works on the mathematical underpinnings of machine learning and data science, with a special focus on Responsible AI. His research interests lie in the intelligent processing of large amounts of various types of data towards: (i) learning efficient data representations, (ii) revealing hidden patterns in the data, (iii) automating intellectual tasks normally performed by humans, (iv) optimising decision-making, and (v) improving computational modelling of complex systems. Archontis is a member of the special interests group on “Machine Learning and Dynamical Systems” at the Alan Touring Institute. He has gained funding from Innovate UK/EPSRC and the Government Equalities Office, and he holds an international patent for co-inventing a deep learning-based quantitative technique for analysing the right ventricle by relying only on two-dimensional echocardiography.