About
I am a Research Associate at Cardiff University Brain Research Imaging Centre (CUBRIC) in the School of Psychology (UK), working with Marco Palombo on Microstructure Imaging.
I hold a PhD from Inria Saclay (Parietal Team) and University Paris-Saclay, under the supervision of Demian Wassermann. During my PhD, I worked on enabling cortical cell-specific sensitivity on diffusion MRI microstructure measurements using simulation-based inference (PhD thesis).
I have a B.Sc. and M.Sc. from CPE Lyon (France) with a major on image analysis, modeling and computer science. I also have a research M.Sc. degree from University Lyon 1 (France) on image processing and 3D technologies.
I got the great opportunity to do a one year internship at Kitware in North Carolina (USA) under the supervision of Stephen Aylward in 2016-2017. I also got the chance to do a six months internship at GE Healthcare (France) with Régis Vaillant.
You can find more details on my résumé (01/2025) and my list of publications.
Research
My research focuses on advancing quantitative MRI techniques and uncertainty quantification in magentic resonance in medicine, improving methods for estimating and interpreting quantitative biomarkers, ultimately aiming to enhance clinical decision-making.
I introduced for the first time the use of simulation-based inference to solve inverse problems in diffusion MRI, enabling the efficient estimation of full posterior distributions through Bayesian inference.
Jallais et al., MELBA (2021) Biophysical model parameters estimated using simulation-based inference averaged over 31 HCP MGH subjects.
I developed an innovative approach to tackle the long-standing challenge in MR in Medicine of quantifying uncertainty across qMRI methods, with openly available code on GitHub, and showed applications on recently proposed forward models for tissue microstructure estimation.
Jallais and Palombo, eLife (2024) µGUIDE framework: µGUIDE takes as input an observed data vector and relies on the definition of a biophysical or computational model. It outputs a posterior distribution of the biophysical model parameters. {:.figcaption}
I improved the reliability of biomarker estimates by proposing an efficient and scalable hierarchical Bayesian inference framework to reduce uncertainty.
Rouillard, Wassermann, Palombo, Jallais. ISMRM (2024) Evolution of the mean, uncertainty (relative standard deviation), and parcellation of biophysical model parameters during training on a slice of a participant with epilepsy.
National and international engagement
Organizer of the Visual Computing Hackathon at Cardiff University. International three-day event bringing researchers together to collaborate on open science projects in neuroimaging and computer science. June 2024.
Invited talk at the Microstructure Imaging meets Machine Learning (MIML) workshop, Cardiff (UK). Sept 2023.
Chairing and organizing Skill Session Meetings at CUBRIC. Aims to give tutorial presentations once a week by invited speakers. 2022-2023.
Planning and organizing CUBRIC MicroTeam Retreat. May 2023.
Chairing and organizing CUBRIC Centre Conference. One day conference involving 100 researchers. Jan 2023.
Rendez-vous des Jeunes Mathématiciennes et Informaticiennes, organised by Inria Saclay and Animaths. Aims to encourage female high school students to pursue scientific studies. 2020 & 2021.
Reviewer
- Reviewer for a final year master student in 2024 at Rennes University (France) on “Anatomy- and microstructure-informed tractography for connectivity evaluation”.
- Reviewer for the ISMRM annual conference in 2023, 2024 and 2025.
- Reviewer for Magnetic Resonance in Medicine.
Honours and Awards
- Taith fund grand. Awarded £2000 for a research visit of a PhD student from the Technical University of Denmark (Thina Lundsgaard Thogersen, co-supervised by Marco Pizzolato and Tim Dyrby) for 3 weeks in CUBRIC.
- Travel Grant from SFRMBM and FLI, 2024. Awarded 500€ for attending the annual scientific ESMRMB conference in Barcelona (Spain).
- Winner of the Shark Tank competition, 2024. International entrepreneurial competition including mock interviews for convincing investors to invest in a hypothetical new company based on innovative ideas, with an expert judge panel.
- ISMRM 2024 Magna Cum Laude Merit Award. Trainee member award for an abstract ranked in the top 15% within the Diffusion MRI category.
- Mansfield Research Innovation Award, 2024. Awarded £1500 from the British & Irish Chapter of ISMRM and Siemens to attend the annual ISMRM conference in Singapore.
- ISMRM 2023 Summa Cum Laude Merit Award. Trainee member award for an abstract ranked in the top 5% within the Diffusion MRI category.
- Travel Award from the Guarantors of Brain, 2023. Awarded £1000 for attending the annual ISMRM conference in Toronto (Canada).
- Travel Grant from SFRMBM and FLI, 2023. Awarded 500€ for attending the annual ISMRM conference in Toronto (Canada).
- ISMRM 2021 Magna Cum Laude Merit Award. Trainee member award for an abstract ranked in the top 15% within the Diffusion MRI category.
Team and alumni
PhD students:
- Help supervision of Lewis Kitchingman, PhD student at Cardiff University (UK)
- Help supervision of Elise Gwyther, PhD student at Cardiff University (UK)
- Help supervision of Charlie Aird-Rossiter, PhD student at Cardiff University (UK)
Visiting students:
- Thina Lundsgaard Thøgersen, while PhD student at the Technical University of Denmark (2025, 3 weeks)
- Paula Popolo, while master student at Utrecht University, Netherlands (2025, 4 months)
Past:
- Helped supervision of Louis Rouillard, PhD student at Inria Saclay (France)
- Helped supervision of Thomas Meunier, PhD student candidate at Inria Saclay (France)
- Co-supervison of N. Feng, master student from Paris-Sud University
