Organisation of Scientific Meetings

I have co-organized more than 15 international scientific events, and symposium and  workshopsat  international conferences, among which I shortlist below the most recent completed activities:

  • 2016-2021 Chair of the Barcelona Virtual Physiological Human  (VPH)  Summer School/ c.a.  60 participants every year/ Spain
  • 2020 Chair of the Bone Modelling Session, 2020 Virtual Physiological Human Conference (VPH 2020)/ c.a. 600 participants/ France (held remotely)
  • 2019Co-Chair of the track Computational Methods in Biomechanics, 25th Congress of the European Society of Biomechanics (ESB 2019) /c.a. 800 participants / Austria

 

Reviewing & Editorial Activities

  • 2021- Associate Editor Frontiers in Physiology, Board of Computational Physiology and Medicine / Frontiers/ Switzerland
  • 2020– Guest Associate Editor,Frontiers in Bioengineering and Biotechnology/Frontiers/Switzerland
  • 2019– Associate Editor Computer Methods in Biomechanics and Biomedical Engineering/Taylor & Francis/UK
  • 2009– Reviewer for several funding agencies worldwide: European (ERC), German (DFG), Dutch (NWO), Portuguese (FCT), Spanish (ANEP), French (ANR), New Zealand (Marsden Fund), International (German-Israeli Foundation for Scientific Research and Development-GIF)
  • 2009– Reviewer for different scientific journals, among others: Scientific Reports, PLoS One, Osteoarthritis and Cartilage, Journal of Theoretical Biology, Journal of the Mechanical Behaviour of Biomedical Materials, Journal of Orthopaedic Research, Biomechanics and Modeling in Mechanobiology, Computers in Biology and Medicine, Annals of Biomedical Engineering

 

Roles in Scientific Societies

  • 2016– Elected member of the Council of  European Society of Biomechanics (ESB), 2016-2020;  2020-2024
    Current Treasurer and member of the Executive Board of the Council
  • 2015– Chair of the Student and Award Committees of the Virtual Physiological Human Institute (VPHi)
  • 2013–2015 Elected President of the Spanish National Chapter of the European Society of Biomechanics (CAP-ESB)

 

Major collaborations

I have more than 26 ongoing collaborations with different research centresand companies, among which I would like to shortlist the most relevant to O-Healthin data, models and simulations, pathophysiology and machine learning:

  • Jaro  Karppinen(Medical Research Centre), Simo Saaraakkala(Research Unit of Medical Imaging), Faculty of Medicine, University of  Oulu, Finland; Frances MK Williams, Department of Twin Research and Genetic Epidemiology, King’s College London, UK
    Topic: Exploitation of population data in intervertebral disc modelling, connection with the Northern Finland Birth Cohort (Oulu) and with the Twins UK population cohort (King’s College London)
  • Karin Wuertz-Kozak, Department of Biomedical Engineering, Rochester Institute of Technology, Rochester, USA; Christine C.  Le Maitre, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK
    Topic: Experimental molecular biology in intervertebral disc science
  • Mariano Vázquez, Computer Applications in Science & Engineering (CASE) Department, Supercomputing Center –Centro Nacional de Supercomputación, Barcelona, Spain
    Topic: High Performance Computing in multiscale modelling (lung, intervertebral disc) in Biomedical Engineering
  • Leonidas G Alexopoulos, Biomedical Systems Laboratory, National Technical University of Athens, Greece Topic:Network modelling, Bioinformatics and high throughput multiplexedanalyses in osteoarthritis
  • Jordi Monfort Faure, Rheumatology Service, Hospital del Mar, Barcelona, Spain
    Topic: Patient cohort data analyses in idiopathic osteoarthritis
  • Vicenta Llorente-Cortes, Experimental Pathology, Biomedical Research Institute of Barcelona -Spanish Council for Scientific Research, Barcelona, Spain
    Topic: Molecular and clinical pathophysiology of plaque development in atherosclerosis
  • Mark van Gils, Faculty of Medicine and Health Technology, Tampere University, Finland
    Topic: Machine learning for disease state and fingerprint definitions based on heterogeneous data