Adán José-García

I am a Research Fellow in Digital Health at the Department of Computer Science, CRIStAL Lab, University of Lille, France. This is a collaborative project with the Lille University Hospital and INCLUDE. My current project involves developing and applying unsupervised machine learning techniques to classify patients with systemic autoimmune diseases. Before joining the University of Lille, I was a Research Fellow in Machine Learning at the Department of Computer Science, Institute of Data Science and Artificial Intelligence, University of Exeter, United Kingdom (UK). Before this, I was a Postdoctoral Researcher with the Decision and Cognitive Sciences Research Centre, University of Manchester, UK. I hold M.Sc. and Ph.D. degrees in Computer Science from the Center for Research and Advanced Studies of the National Polytechnic Institute, Cinvestav-IPN, Mexico. In general, my scientific expertise is focused on investigating cluster analysis methods, also known as unsupervised machine learning in Artificial Intelligence. My research consists in creating and adapting clustering approaches (e.g., multi-view clustering, biclustering) and their applications to different research fields such as digital healthcare, the labour market, and network analysis. My research currently focuses on developing integrative cluster analysis approaches to address healthcare-related data problems and help to understand better disease complications and treatment goals.