Data and text mining [62]
Pro-actively addressing the challenges for an effective uptake of COVID-19 vaccination in Belgium: a transdisciplinary approach (Transvaxx project)
Tamara Giles-Vernick • Léonard Heyerdahl
Vaccine hesitancy during the Covid-19 Pandemic: Understanding the spread and use of (mis)information among health workers in Guinea and Ghana (Frontline project)
Léonard Heyerdahl
Cultivating Online Safe Spaces: Addressing unspoken hesitancy to build vaccine confidence in healthcare workers in Belgium (OSS project)
Léonard Heyerdahl • Tamara Giles-Vernick
Topological and statistical properties of neural connectomes
Christian L. Vestergaard
Yanyuan Zhang
Metabolomics Core Facility
Sandrine Aros
Maestro
HPC Core FacilityNastassia Tvardik
Data Management Core Facility
Léonard Heyerdahl
Anthropology and Ecology of Disease Emergence
Leonardo Heyerdahl is a social scientist focused on epidemics research. At Institut Pasteur and in collaboration with the Red Cross and the European RECOVER project, Leonardo is developing and implementing hybrid methods spanning from […]
Applying machine learning to sequence analysis (PhD project)
Luc Blassel
Toi Même: a smartphone application for measuring bipolar illness activity
Chantal Henry
Diana Mandache
Diana is a PhD student with a technology-oriented fellowship (CIFRE) working for LLTech under the supervision of Dr. Vannary Meas-Yedid Hardy at the Bioimage Analysis Unit. Her research topic revolves around developing aid-to-diagnosis tools […]
Stéphane Rigaud
Image Analysis Hub
Stephane’s background is mainly oriented on mathematics and computer science applied to image analysis. He obtained Master degree in 2010 from the computer science department of Universite Pierre et Marie Curie (Paris, France), where […]