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Jose Sousa | Sano

Research / Personal Health Data Science

Jose Sousa

Research Team Leader of Personal Health Data Science

He was the Manager of the Advanced Informatics Core Technology Unit in the Faculty of Medicine, Health and Life Sciences (FHMLS) at QUB. He obtained his PhD under Prof. Ricardo Machado (University of Minho, Portugal) and Prof. Jose Mendes (University of Aveiro, Portugal) supervision at University of Minho, Portugal on developing complex network models to study software usage alignment with the project requirements. Previously and during his PhD he worked as Information Systems Director at I3S, a research institution of University of Porto (i3.sup.pt) where he deployed and managed all the IT infrastructure as well as deploying and developing software to support management and research operations. He was a collaborator of HDRUK – Swansea/QUB substantial site as AI researcher and actively working with QUB Centre for Public Health as part of the QUB support to Northern Ireland Public Health response to pandemic where he has developed self-learning AI on publicly available and self-reporting data. He also has worked on genetic alignment modelling and on mining socio-technical systems.

He is the Research Leader of the Personal Health Data Science Group at SANO developing fundamental research on AI machine self-learning applied to non-communicable diseases. Previously he was the Manager of the Advanced Informatics Core Technology Unit in the Faculty of Medicine, Health and Life Sciences (FHMLS) at QUB. He obtained his PhD under Prof. Ricardo Machado (University of Minho, Portugal) and Prof. Jose Mendes (University of Aveiro, Portugal) supervision at University of Minho, Portugal on developing complex network models to study software usage alignment with the project requirements [1.11]. Previously and during his PhD he worked as Information Systems Manager at I3S, a research institution of University of Porto (i3.sup.pt) where he deployed and managed all the IT infrastructure as well as deploying and developing software to support management and research operations.

He is presently collaborator of the DEMON Network as an AI researcher and actively working with International Public Health Centres [1.12] and AI Research Teams such as CLAIRE AI as part of the response to COVID-19 [1.13][1.14] where he is developing self-learning AI on publicly available and self-reporting data. He also has work on genetic alignment modelling [1.15], and on mining of socio-technical systems [1.16].

  • [1.11] José L.R. Sousa, Ricardo J. Machado, J.F.F. Mendes (2012), Modelling Organizational Information Systems Using “Complex Networks” Concepts, Proceedings of the 8th International Conference on the Quality of Information and Communications Technology (QUATIC), 365-370, IEEE Computer Society Press;
  • [1.12] Sousa, J., Barata, J., Woerden, H. C. van & Kee, F. COVID-19 Symptoms app analysis to foresee healthcare impacts: Evidence from Northern Ireland. Applied Soft Computing, 116, 108324–108324, 2022,  https://doi.org/10.1016/j.asoc.2021.108324.
  • [1.13] José Sousa, João Barata, Tracking the wings of covid-19 by modelling adaptability with open mobility data, Applied Artificial Intelligence, https://doi.org/10.1080/08839514.2020.1840196, Applied Artificial Intelligence Journal, 2020;
  • [1.14] Bontempi, G. et al., “The CLAIRE COVID-19 initiative: approach, experiences and recommendations”, Ethics and Information Technology, 2021, https://doi.org/10.1007/s10676-020-09567-7.
  • [1.15] AC Roddy, A Jurek, J Sousa, A Gilmore, PG O’Reilly, A Stupnikov, D Gonzalez DeCastro, KM Prise, M Salto-Tellez, DG McArt, NUQA: Estimating cancer spatial and temporal heterogeneity and evolution through alignment-free methods, Molecular Biology and Evolution Journal, 2019;
  • [1.16] José Sousa, João Barata, “Mining Sociotechnical Patterns of Enterprise Systems with Complex Networks: A Guiding Framework” chapter in Pańkowska, M. (2021). Autopoiesis and Self-Sustaining Processes for Organizational Success. IGI Global. http://doi:10.4018/978-1-7998-6713-5(https://www.igi-global.com/book/autopoiesis-self-sustaining-processes-organizational/256641)