About me
I'm a postdoctoral researcher in the SISTM team at the Bordeaux Population Health centre, working on HBV within-host modelling with Mélanie Prague and Linda Wittkop.
I did my PhD in the ETE modelling team within the MIVEGEC lab, where I was fainly supervised by Samuel Alizon, Mircea T. Sofonea and Ramsès Djidjou-Demasse.
Contact
Email
reyne.bastien_[AT]_gmail.com
Current adress
Bordeaux
France
I'm broadly interested in thematics linked to epidemiology, ecology and evolution. More specifically, my work uses mathematical modelling and statistics to tackle epidemiology- and evolution-related problematics of pathogens such as SARS-CoV-2 or HPV.
I list the research thematics I explored the most hereafter.
Non-Markovian compartmental models
Most simple classical ODEs-based compartmental models assume constant leaving rates, which induce exponential waiting times that are often unrealistic from the biological point of view [Reyné et al., 2022]. My work mainly explored alternatives to the ODE paradigm, to allow the explicit implementation of biological processes that depend on the time elapsed since an event (e.g. an infection). It may involve partial differential equations [Kermack & McKendrick, 1932, Reyné et al., 2022] or discrete-time models [Sofonea et al., 2021]. These formalisms are very convenient when accounting for long-term biological processes, such as modelling immunity [Reyné et al., 2024].
Related references
Sensitivity analyses
Each time we use a mechanistic model, the produced results depend heavily on the input parameters chosen and the assumptions on the structure of the model itself. Sensitivity analyses should be performed on the results to assess the impact of the input parameters (and the interactions between each other) or the model structure. The high impact of a parameter or an assumption should inform cautiousness or lead to further analyses to better grasp the underlying processes.
Related references
SARS-CoV-2
During the first years of the SARS-CoV-2 pandemic, I worked on various epidemiological aspects as a member of the ETE modelling team. The aims and questions changed all along the pandemic, starting with practical needs such as the estimation of interventions in aged-care facilities [Reyné et al., 2021], estimation of the temporal reproduction number, projections of hospital occupancy [Sofonea et al., 2021] or mitigation strategies [Sofonea et al., 2020]. The later projects, more theoretical, wondered the best way to model SARS-CoV-2 immunity or what could lead to the appearance of new strains [Reyné et al., 2024].
Related references
- Epidemiological monitoring and control perspectives: application of a parsimonious modelling framework to the COVID-19 dynamics in France
- Analysing different exposures identifies that wearing masks and establishing COVID-19 areas reduce secondary-attack risk in aged-care facilities
- Memory is key in capturing COVID-19 epidemiological dynamics
- Mutant emergence timing and population immunisation status impact epidemiological dynamics
HPV
All my work on HPV has been carried out while I helped people work on the PAPCLEAR clinical cohort (part of the EVOLPROOF project). The main idea behind this project is to focus on acute HPV infections and understand why they do not persist and are cleared within few months [Alizon et al., 2017].
The results from the PAPCLEAR cohort tends to display a cross-protective effect of HPV vaccines on the HPV51 genotype [Murall et al., 2020] and potential link between menstrual cups usage and genital fungal infections [Tessandier et al., 2023]. At a within-host scale, the HPV infection median time is about 14 weeks [Tessandier, Elie et al., 2023].
Related references
A complete list of publications is also available on my ORCID or my Google Scholar profile.
Publications
2025
| Viral and immune dynamics of genital human papillomavirus infections in young women with high temporal resolution |
| PLOS Biology |
Nicolas Tessandier ＝ ✉️,
Baptiste Elie ＝ ✉️,
Vanina Boué,
Christian Selinger,
Massilva Rahmoun,
Claire Bernat,
Sophie Grasset,
Soraya Groc,
Anne-Sophie Bedin,
Thomas Bénéteau,
Marine Bonneau,
Christelle Graf,
Nathalie Jacobs,
Tsukushi Kamiya,
Marion Kerioui,
Julie Lajoie,
Imène Melki,
Jean-Luc Prétet,
 Bastien Reyné,
Géraldine Schlecht-Louf,
Mircea T. Sofonea,
Olivier Supplisson,
Chris Wymant,
Vincent Foulongne,
Jérémie Guedj,
Christophe Hirtz,
Marie-Christine Picot,
Jacques Reynes,
Vincent Tribout,
Édouard Tuaillon,
Tim Waterboer,
Michel Segondy,
Ignacio G. Bravo,
Nathalie Boulle,
Carmen Lia Murall,
Samuel Alizon ✉️
|
| [pdf] [appendix] [scripts+data] |
2023
| Does exposure to different menstrual products affect the vaginal environment? |
| Molecular Ecology |
|
Nicolas Tessandier ✉️,
Ilkay Başak Uysal ＝,
Baptiste Elie ＝,
Christian Selinger,
Claire Bernat,
Vanina Boué,
Sophie Grasset,
Soraya Groc,
Massilva Rahmoun,
Bastien Reyné,
Noemi Bender,
Marine Bonneau,
Christelle Graf,
Vincent Tribout,
Vincent Foulongne,
Jacques Ravel,
Tim Waterboer,
Christophe Hirtz,
Ignacio G. Bravo,
Jacques Reynes,
Michel Segondy,
Carmen Lia Murall,
Nathalie Boulle,
Tsukushi Kamiya,
Samuel Alizon ✉️ |
| [postprint pdf] [appendix] [zenodo] |
2022
| Principles of mathematical epidemiology and compartmental modelling application to COVID-19 |
| Anaesthesia Critical Care & Pain Medicine |
|
Bastien Reyné ✉️,
Nicolas Saby,
Mircea T. Sofonea |
| [pdf] |
| Non-Markovian modelling highlights the importance of age structure on Covid-19 epidemiological dynamics |
| Mathematical Modelling of Natural Phenomena |
| Recommended by PCI Math & Comp Biol |
|
Bastien Reyné ✉️,
Quentin Richard,
Christian Selinger ＝,
Mircea T. Sofonea ＝,
Ramsès Djidjou-Demasse ＝,
Samuel Alizon ＝ |
| [pdf] [git] |
2021
| Analysing different exposures identifies that wearing masks and establishing COVID-19 areas reduce secondary-attack risk in aged-care facilities |
| International Journal of Epidemiology |
|
Bastien Reyné,
Christian Selinger,
Mircea T. Sofonea,
Stéphanie Miot,
Amandine Pisoni,
Edouard Tuaillon,
Jean Bousquet,
Hubert Blain ＝,
Samuel Alizon ＝ ✉️ |
| [pdf] [scripts+data] |
| Memory is key in capturing COVID-19 epidemiological dynamics |
| Epidemics |
|
Mircea T. Sofonea ✉️,
Bastien Reyné,
Baptiste Elie,
Ramsès Djidjou-Demasse,
Christian Selinger,
Yannis Michalakis,
Samuel Alizon |
| [pdf] [appendix] |
2020
| HPV cervical infections and serological status in vaccinated and unvaccinated women |
| Vaccine |
|
Carmen Lia Murall,
Bastien Reyné,
Christian Selinger,
Claire Bernat,
Vanina Boué,
Sophie Grasset,
Soraya Groc,
Massilva Rahmoun,
Noemi Bender,
Marine Bonneau,
Vincent Foulongne,
Christelle Graf,
Eric Picot,
Marie-Christine Picot,
Vincent Tribout,
Tim Waterboer,
Ignacio G. Bravo,
Jacques Reynes,
Michel Segondy,
Nathalie Boulle,
Samuel Alizon ✉️ |
| [postprint pdf] |
Preprints
| Leaky or polarised immunity: non-Markovian modelling highlights the impact of immune memory assumptions |
|
Bastien Reyné ✉️,
Tsukushi Kamiya,
Ramsès Djidjou-Demasse ＝,
Samuel Alizon ＝,
Mircea T. Sofonea ✉️ |
| [pdf] [git] |
| Mutant emergence timing and population immunisation status impact epidemiological dynamics |
|
Bastien Reyné ✉️,
Ramsès Djidjou-Demasse ＝,
Mircea T. Sofonea ＝,
Samuel Alizon ＝ |
| [pdf] [git] |
| Modelling long-term COVID-19 hospital admission dynamics using immune protection waning data |
|
Bastien Reyné ✉️,
Mircea T. Sofonea ＝,
Samuel Alizon ＝ |
| [pdf] |
| Epidemiological monitoring and control perspectives: application of a parsimonious modelling framework to the COVID-19 dynamics in France |
|
Mircea T. Sofonea ✉️,
Bastien Reyné,
Baptiste Elie,
Ramsès Djidjou-Demasse,
Christian Selinger,
Yannis Michalakis,
Samuel Alizon |
| [pdf] |
Random documents
| PhD thesis (in french) |
| Apports et applications de formalismes non-markoviens en épidémiologie : l’épidémie de SARS-CoV-2 comme exemple |
| Université de Montpellier |
|
Bastien Reyné |
| [pdf] |
Some random info linked to my professional activities.
Reviewing activities
I reviewed some scientific articles for journals such as Proceedings B, Biological Letters or J Roy Soc Interface.
The complete list is available on my ORCID profile.
Funding
— Doctoral fellowship from University of Montpellier.
— ANRS mobility grant for young researchers.
Conferences
I attended international and national conferences where I had the opportunity to give some talks (e.g. COVID-19 Dynamics & Evolution Webinar Series, 2020) or present some posters (e.g. Dynamics & Evolution of Human Viruses, 2022).
Teaching
I used to teach (in French) statistics, biomathematics and modelling for Bachelor's and MSc's students.
Scientific vulgarisation
I participated in scientific dissemination program where I had the opportunity explain the fundamental aspects of mathematical modelling, as well as discussing vaccination campaigns through game theory approaches.
Shiny app development
I was involved in surveillance activities (as member of the ETE modelling team) during the SARS-CoV-2 epidemic. I developed in that context Shiny apps to monitor the temporal reproduction number (still online apparently) or prospective hospital admissions in the short-term (unmaintained).
Training
I studied mathematics (Bachelor's degree) and statistics (MSc) during my training in Montpellier.