Dr Henriques completed his master's degree in biomedical engineering and Biophysics in 2012 at the Faculty of Science, University of Lisbon, PT (2007-2012). During the last year of his master, he implemented the main diffusion magnetic resonance imaging (dMRI) algorithms of the large collaborative project Cambridge Centre for Ageing and Neuroscience (cam-can.org). After a brief period as a research assistant at the Institute of Biophysics and Biomedical Engineering, University of Lisbon, PT (2012-2013), Dr Henriques was awarded a fellowship from the Portuguese Foundation for Science and Technology (FCT) to pursue his PhD at the Cognition and Brain Sciences Unit (CBSU), University of Cambridge, UK (2013-2018). His PhD project was focused on exploring the potentials and limitations of advanced dMRI analysis and their application to study microstructural age-related changes (Henriques, University of Cambridge PhD thesis, 2018; Henriques et al., NIMG 2015; Henriques et al., ReScience 2017; Price et al., Nat Commun 2017; Huber et al., Dev Cogn Neurosci 2019; Bergmann et al., NMR Biomed. 2019). After his PhD, Dr Henriques was invited to join the Shamesh Lab at the Champalimaud Foundation, PT (2017-2021) as a postdoctoral fellow. There he exploited the capabilities of the pre-clinical high field scanners to validate different state-of-the-art dMRI models (Henriques et al., MRM 2019) and developed novel methods to extract unique tissue microstructural information from advanced dMRI sequences (Henriques et al., Neurosci Methods 2021). Specifically, he established the Correlation tensor MRI (CTI) - an innovative dMRI methodology that avoids the use of simplified models by characterizing microstructural tissue using different sources of non-Gaussian diffusion (Henriques et al., NIMG 2020; Henriques et al., MRM 2021). Recently, Dr Henriques was awarded a six-year postdoctoral fellowship to continue working at the Champalimaud Foundation to explore the potential of CTI to address the current needs of stroke imaging (Alves et al., NIMG 2022) and the translate it to the clinics (Novello, Henriques et al., NIMG 2022) . Dr Henriques is also an active contributor of the large-scale open-source project diffusion in python (dipy.org) which aim is to promote the reproducibility of research based on dMRI techniques (top 5 collaborator over more than 100 collaborators). During his career, Dr Henriques author in 24 main authorship in peer-reviewed publications (including 10 first-author, 2 last-author, and 6 second-author papers) and in 44 consortium papers. His work was also presented on more than 15 international conferences with a total of 64 abstracts accepted (10 of the 28 first-author abstracts were selected for oral presentations). He was also a supervisor of the Mathematical Biology lectures at the University of Cambridge (having supervised 10 undergraduate students), he supervised 2 master projects, 6 Google Summer of Code projects and he was a jury element of 2 master and 1 doctoral thesis.