Research, Leadership & Innovation
PhD in Applied Mathematics, trained in scientific research and the management of international projects. My background connects research, entrepreneurship, and industrial engagement.
I have developed and led projects funded by European and international institutions in the field of plant health, epidemiology and crop yield improvement.
Today, I aim to leverage this experience to support economic development through innovation and the structuring of sustainable productive ecosystems.
In parallel, I am an R&D and data scientist with experience in designing mathematical models and digital products for agriculture, the environment, and complex systems. I am proficient across the solution-development cycle, from scientific modelling and data valorisation to software deployment. I founded scale.ag, an initiative for helping agricultural and agri-food organisations turn data into practical decision-support tools and digital solutions. The venture is currently paused.
Digital innovation
Research-grounded innovation
Project management and coordination
Research funding acquisition and grant writing
Work in multicultural environments
Partnership development
Competence-based leadership
Cross-cultural adaptability
Negotiation and diplomacy
Strategic analysis and project structuring
Supervision and training
Fluent in French and English
My research interests lie at the intersection of mathematical modelling, plant disease dynamics, and sustainable agriculture. I am particularly focused on developing advanced mathematical frameworks to understand and manage the dynamics of viral, fungal, and pest-driven epidemics.
Mathematical Modelling, Epidemiology, Ecological Modelling, Plant disease epidemiology, Dynamical Systems, Biomathematics, Computational Modelling and Simulations, Optimal Control, Optimization, Numerical Analysis, Decision Support Systems, Computational Biology, Statistics, Population Genetics
Institut Sophia Agrobiotech - INRAE, M2P2, Sophia Antipolis, France — Nov 2026 – Present | Fixed-term contract (through Oct 2027)
Develop mathematical models of plant–nematode interactions and virulence dynamics.
Investigate surveillance-informed strategies for resistance deployment and adaptive crop-health management.
Institut Agro Rennes-Angers / INRAE, Rennes, France — Jan 2023 – Jan 2025
Developed demogenetic models and a decision-support tool for sustainable deployment of potato varieties resistant to cyst nematodes.
Led scientific and technical coordination of the project.
Managed funding, budget monitoring, and reporting to European and regional funders.
Supervised students and collaborated with public and private partners.
University of Cambridge (Department of Plant Sciences, United Kingdom) — Jan 2022 – Dec 2022
Visiting researcher at the WAVE Center of Excellence (Central and West African Virus Epidemiology for Food Security), Félix Houphouët-Boigny University, Bingerville, Côte d’Ivoire.
Modelled cassava virus epidemics and varietal-mixture deployment for improved crop health and yields.
Contributed to field surveillance, pathogen profiling and decision-support methods for cassava disease management.
Project funded by the Bill & Melinda Gates Foundation.
Center of Excellence in Information and Communication Technology (CETIC), National Advanced School of Engineering, Yaoundé, Cameroon — Jan 2021 – Dec 2021
Conducted quantitative research on crop health and yield improvement.
Trained early-career researchers in quantitative methods and scientific project management.
University of Yaoundé I and INRIA Sophia Antipolis (France) — 2016 – 2020
Led an applied research project on plant health and the sustainable optimization of banana and plantain yields. Conducted joint Cameroon–France doctoral research. Secured research funding and coordinated scientific activities. Trained students at the National Advanced School of Engineering, Yaoundé.
Les Confiotes, Douala, Cameroon — Jan 2025 – Present | Remote
Coordinate team operations, production follow-up and commercial priorities for a beverage-processing business.
Lead operational reporting, data-driven planning and the development of standard operating procedures.
Support sales, stock, cash-flow monitoring and management decisions.
Les Confiotes, Douala, Cameroon — Mar 2020 – Dec 2021
Designed data pipelines, performance dashboards and forecasting tools to support production and sales planning.
Analysed stock, orders and operational performance to improve management decisions.
scale.ag — Africa–Europe | Apr 2026 – Present (venture paused)
Developed a digital agriculture initiative to turn research and operational data into practical decisions for agricultural and agri-food organisations. The venture is currently paused.
Led scientific direction, solution architecture, early digital product development and partnership outreach.
Prototyped solutions combining mathematical modelling, remote sensing, machine learning, digital twins and decision-support systems for African agricultural contexts.
ROOT-consulting, Yaoundé, Cameroon — Jan 2015 – Dec 2015
Founded a digital services company. Developed a medical software application (HemoVigile). First entrepreneurial experience: project management, client relations, and technical and organizational structuring.
Cameroon Lead – African Artificial Intelligence Society (Volunteer)
2020-2021
Led and coordinated the national community. Organized events and promoted digitalization and automation through artificial intelligence, with an emphasis on responsible and ethical use.
Visiting Scientist — University of Florida (Garrett's Lab)
Dec 2023
Visiting Scientist — Wageningen University (Lab of Nematology)
Sep 2023
Visiting Scientist — WAVE (Abidjan, Côte d'Ivoire)
Apr 2022 – Dec 2022
Visiting Scientist — INRIA Sophia-Antipolis (Team Biocore)
Feb 2019 – Jun 2019 | Apr 2018 – Aug 2018 | Sep 2017 – Dec 2017
PhD in Applied Mathematics — University of Yaoundé I (Apr 2021)
Master in Applied Mathematics — University of Yaoundé I (Jan 2015)
Bachelor in Mathematics & Computer Science — University of Dschang (Jun 2012)
Python, R, Java, JavaScript, HTML/CSS, NetLogo, Streamlit, Tableau, MySQL, Git, PHP, SQL, Jupyter Notebook/JupyterLab, GitHub, Anaconda/Conda, Bash
TensorFlow, Keras, PyTorch, Scikit-learn, PyMC, Pandas, NumPy, SciPy, Matplotlib
Dynamical systems, epidemiological models, population genetics / demo-genetics, time-series forecasting, Bayesian inference, optimal control, numerical analysis, stochastic simulation (Gillespie algorithms), Monte Carlo methods, spatial epidemiology, parameter inference and model calibration, sensitivity and uncertainty analysis, statistical modelling, experimental design, adaptive surveillance, spatial optimisation
Spatial and spatiotemporal data analysis, geostatistics, spatial autocorrelation and point-pattern analysis, geospatial statistics, spatial sampling and experimental design, regression and mixed-effects models, multivariate statistics, statistical inference, hierarchical and Bayesian models, bootstrap and resampling, uncertainty quantification, spatial visualisation and mapping
AWS, Google Cloud, MLOps principles, Docker, reproducible research (notebooks, CI-friendly code), version-controlled research workflows, reproducible computational environments, parallel and HPC-oriented simulation workflows
MATLAB, Scilab, Streamlit, Kaggle, Excel, LaTeX, GIS/geospatial data processing, remote-sensing data analysis, scientific Python package development, data visualisation and interactive dashboards
French (fluent), English (fluent), German (basic)
Phone numbers are available upon request.