LIG - Grenoble Informatics Laboratory
Aidan Mannion is a doctoral student at LIG - Grenoble Informatics Laboratory since September 2021, having previously served as a research engineer at EPOS from November 2020 to June 2021, where development of a risk prediction system for the SOS Médecins healthcare service was implemented. Prior experience includes a medical informatics research internship at LIG from February to August 2020, focusing on machine learning and biomedical text mining, achieving high accuracy in predicting patient healthcare access and serious illness probability. Aidan also interned at LXRepair in summer 2019, working as a junior statistician on genetic research to identify biomarkers for cancer treatment responses. Aidan holds a Master of Science in Industrial & Applied Mathematics from the National School of Computer Science and Applied Mathematics of Grenoble and a Bachelor of Science in Applied Mathematics from the University of Galway.
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LIG - Grenoble Informatics Laboratory
Grenoble Informatics Laboratory (LIG) is one of the largest laboratories in Computer Science in France. It is structured as a Joint Research Center (French Unité Mixte de Recherche - UMR) founded by the following institutions: CNRS, Grenoble Institute of Technology (Grenoble INP), Inria Grenoble Rhône-Alpes, Grenoble Alps University. 500 members of LIG (faculty, full-time researchers, PhD students, administrative and technical staff) are distributed over three sites in Grenoble and its suburbs: the Saint Martin d'Hères Campus, Minatec, and the Montbonnot Campus. The mission of LIG is to contribute to the development of fundamental aspects of Computer Science (models, languages, methodologies, algorithms) and address conceptual, technological, and societal challenges. Increasing diversity and dynamism of data, services, interaction devices, and use cases influence the evolution of software and systems so they need to guarantee the essential properties such as reliability, performance, autonomy, and adaptability. Addressing such challenges is the objective of 24 research teams organized into 5 focus areas: Data and Knowledge Processing at Large Scale, Distributed Systems, Parallel Computing, and Networks. Formal Methods, Models, and Languages, Interactive and Cognitive Systems, Software and Information System Engineering. LIG focuses on the fundamentals of Computer Science and experimental developments while taking into account new societal challenges.