Researcher in Data Sciences and Digital HealthI am a research scientist at the University of Lille in France. I am affiliated to the CRIStAL (ORKAD team) and INFINITE (ENDOMIC team) laboratories. My research lies at the intersection of machine learning, optimization and digital health.
Before joining the University of Lille, I was a Postdoctoral Researcher at the Institute of Data Science and Artificial Intelligence, University of Exeter, UK. Before this, I was a Researcher Fellow at the Decision and Cognitive Sciences Research Centre, University of Manchester, UK. I obtained my Ph.D in Computer Science from the Center for Research and Advanced Studies of the National Polytechnic Institute (Cinvestav-IPN), Mexico.
Campus Cité Scientifique, ESPRIT, S3.11, Université de Lille, France
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University of ExeterPostdoctoral researcher in machine learning2019 - 2021 -
University of ManchesterPostdoctoral fellow in unsupervised learning2018 - 2019 -
Cinvestav-IPNPhD. in Computer Science2013 - 2017
Research Interests
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Unsupervised Machine Learning
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Machine Learning
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Metaheurstics
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Numerical and Combinatorial Optimization
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Multi-objective Optimization
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Digital Health
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Bioinformatics
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Time Series Analysis
News
Selected Publications (view all )
HBIC: A Biclustering Algorithm for Heterogeneous Datasets
A. José-García, J. Jacques, C. Chauvet, V. Sobanski, C. Dhaenens
European Conference on Artificial Intelligence (ECAI) 2024 conference
Metaheuristic Biclustering Algorithms: From State-of-the-Art to Future Opportunities
A. José-García, J. Jacques, V. Sobanski, C. Dhaenens
ACM Computing Surveys 2023 journal
Evolutionary Multiobjective Clustering Over Multiple Conflicting Data Views
M. Garza-Fabre, J. Handl, A. José-García
IEEE Transactions on Evolutionary Computation 2022 journal
C3-IoC: A Career Guidance System for Assessing Student Skills using Machine Learning and Network Visualisation
A. José-García, A. Sneyd, A. Melro, A. Ollagnier, G. Tarling, H. Zhang, M. Stevenson, R. Everson, R. Arthur
International Journal of Artificial Intelligence in Education 2022 journal
An Evolutionary Many-objective Approach to Multiview Clustering using Feature and Relational Data
A. José-García, J. Handl, M. Garza-Fabre, W. Gómez-Flores
Applied Soft Computing 2021 journal
Automatic Clustering Using Nature-inspired Metaheuristics: A Survey
A. José-García, W. Gómez-Flores
Applied Soft Computing 2016 journal
All publications
Teaching
Students
| Topic: Evaluation of chronic diseases progression from longitudinal data using machine learning
| École Doctorale Biologie-Santé, University of Lille
| Topic: Microscopy imagery using deep learning
| École doctorale Biologie-Santé, University of Lille and KU Leuven
• [Oct. 2024 — currently] Antonio Al Makdissi master in Data Science, University of Lille | Research Project M2 | Topic: Deep Clustering
• [May. 2024 — Sep. 2024] Gabriel Warde master in Data Science, University of Lille | Internship M1 | Topic: Deep Learning
• [Oct. 2023 — Mar. 2024] Ikram Messadi master in Data Science, University of Lille | Research Project M1 | Topic: Biclustering
• [Oct. 2023 — Mar. 2024] Gabriel Warde master in Data Science, University of Lille | Research Project M1 | Topic: Clustering
• [Apr. 2023 — Jun. 2023] Audrey Bilon master in CS, FST, University of Lille | Research Project M1 | Topic: Unsupervised Learning
• [Aug. 2020 — Jan. 2021] Brian Evans and James Bradford | University of Exeter | Project: A Cognitive Behavioural Therapy App
• [Aug. 2020 — Dec. 2020] Benedict Rangasamy and Peranavie Thangasuthan | University of Exeter | Project: A Telematics Driving App