2025, Jan–Jun

Postdoctoral research fellow at Centers for Disease Control (CDC)
Steven M. Teutsch Prevention Effectiveness Fellowship, Analytics and Modeling Track
Center for Forecasting and Outbreak Analytics (CFA)
WA, United States

Joined the team led by Guido Camargo and contributed by conducting literature review and building a module to run cost-effectiveness analyses of non-pharmaceutical interventions against SARS-CoV-2 for a package developped by CFA to support decision-making.

2023–2024

Independent Research
The Hague, Netherlands

Worked with Romulus Breban (Institut Pasteur, France) and Raffaele Vardavas (RAND Corporation, United States) to study epidemic elimination and reemergence dynamics induced by vaccine hesitancy/fatigue.

2022–2023

Postdoctoral researcher at Centre national de la recherche scientifique (CNRS)
Institut d'Écologie et des Sciences de l'Environnement de Paris (IEES Paris, CNRS & Sorbonne Université)
Équipe Écologie et évolution des réseaux d'interactions (EERI)
Paris, France

Worked with Florence Débarre (CNRS), François Blanquart (Collège de France) and Peter Czuppon (University of Münster) to estimate the date emergence of an epidemic outbreak using early case data.
Funding: MODCOV19 Platform (Insmi) fellowship granted to FD.

2020–2021

Postdoctoral researcher at Conservatoire National des Arts et Métiers (Cnam)
Modélisation, épidémiologie et surveillance des risques sanitaires (MESuRS)
Paris, France

Worked with Kévin Jean and Laura Temime in close collaboration with an on-site medical and research team led by Mohamed El-Kassas to estimate and compare the risk of nosocomial SARS-CoV-2 transmission in three Egyptian COVID-19 quarantine hospitals.
Funding: ANRS COVID-19 grant for Nord-South collaborations, granted to KJ.

2019–2020

Teaching and research associate at Sorbonne Université (SU)
('Attaché Temporaire d'Enseignement et de Recherche', ATER)
Biology Faculty (UFR 927)
Paris, France

I led Pre-calculus, Biostatistics and Biomathematics exercise sessions for undergrad Biology SU students.

2015–2019

PhD at Sorbonne Université
Pierre Louis Institute of Epidemiology and Public Health (IPLESP, Inserm & SU)
Team: Communicable Diseases Surveillance and Modelling (SUMO)
Paris, France

Supervised by Virginie Supervie (Inserm) and Romulus Breban (Institut Pasteur) I studied epidemic elimination under voluntary adoption of effective preventive methods. Two applications were explored: i) voluntary vaccination against childhood infectious diseases (such as measles) and ii) pre-exposure prophylaxis uptake to prevent HIV infection.
Funding: 3-year doctoral grant via the EHESP Public Health Doctoral Network and 1-year ANRS research grant, both awarded to SJ.

2021

PhD in Epidemiology
Biomathematics Track
Sorbonne Université (SU)
(former Pierre et Marie Curie University)
Paris, France

Thesis: Voluntary prevention in the context of efficient treatment: a game-theoretic approach
Advisors: Virginie Supervie (Inserm) and Romulus Breban (Institut Pasteur)
Research unit: Pierre Louis Institute of Epidemiology and Public Health (IPLESP)
Team: Communicable Diseases Surveillance and Modelling (SUMO)
Doctoral School: ED 393, Pierre Louis Doctoral School of Epidemiology and Public Health
Defense jury: Chris Bauch (referee, University of Waterloo), Raffaele Vardavas (referee, RAND Corporation), Alberto D'Onofrio (Trieste University), Judith Mueller (EHESP), Sylvain Sorin (Sorbonne Université)
Funding: 3-year doctoral grant via the EHESP Public Health Doctoral Network and 1-year research grant from the French Agency for Research on AIDS and Viral Hepatitis (ANRS), both awarded to SJ.

2015

Masters in Applied Mathematics
Mathematical Modeling Track
Sorbonne Université
Paris, France

Program: Mathematics Applied to Biological and Medical Sciences (MBIO)
Dissertation: Modeling the impact of PrEP in HIV incidence among MSM
Advisor: Virginie Supervie (Inserm)

2013

Bachelor in Mathematics
Escuela Politécnica Nacional
Quito, Ecuador

Dissertation: Reduction of a population spreading problem using Proper Orthogonal Decomposition (POD) method
Advisor: Pedro Merino (MODEMAT, EPN)

Infectious disease modeling

• SEIR, agent-based, stochastic, deterministic and Bayesian approaches
• Epidemic elimination and (re)emergence dynamics
• Behavioral models: game theory, utility maximization

Public health

• Prevention interventions, vaccine hesitancy
• Health economic evaluations: disease burden, cost-effectiveness analyses
• SARS-CoV-2 and COVID-19
• Measles and vaccination
• HIV and Pre-Exposure Prophylaxis

Programming languages

• R
• Julia
• Python
• C++
• Rust
• Matlab
• Mathematica

2022–2026

Qualification aux fonctions de maître de conférence
(French qualification required for applying to lecturer positions)

Sections CNU:
Section 26 – Mathématiques appliquées et applications des mathématiques
Section 85 – Ingénierie appliquée à la santé