Candidate Status

Available

about

Mathematical modeler and epidemiologist specializing in statistical and dynamical systems approaches to generate actionable public health insights. Experienced in developing mechanistic models and applying rigorous statistical analysis to inform evidence-based research and policy. Focused on leveraging quantitative methods to strengthen public health decision-making and support impactful, data-driven interventions.

education

Cooperative Masters of Science in Mathematical Epidemiology

African Institute for Mathematical Sciences (AIMS) Cameroon

September 2025 - 2027

Master of Science In Applied Mathematics (Probability and Statistics)

University of Yaounde 1

2021-2024

Bachelor's Degree in Applied Mathematics

University of Dschang

2018- 2021

Experience

Data Analyst (Epidemiological Analysis) |

DataCore (Finistech), Cameroon Yaounde

April 2025 - July 2025

skills

Python, R, MongoDB, SQL, React, Pandas, Numpy, Tidyverse, Matplotlib, Shiny, SciPy, Superbase, Flask, Scikit-learn, PyTorch, Tensorflow Probability, English, French, Git / Github / GitLab, Google Cloud

Areas of Competence

Simulation, Optimization, Epidemiological modeling, Mathematical modeling, Reporting

Country

Cameroon

Noutemgning Yimele Ulrich Brice

Mathematical Epidemiologist / Biostatistician

Mathematical Epidemiologist / Biostatistician