Candidate Status

Available

about

Mathematical Epidemiology professional with expertise in mathematical modeling, statistics, and data analysis applied to public health. Proficient in R, Python, and Excel for data analysis, visualization, and scientific research. Experienced in teaching and science communication, combining analytical and instructional skills to translate complex findings into actionable insights. Focused on infectious disease modeling, statistical analysis, and applying quantitative methods to support evidence-based public health decision-making.

education

Cooperative Masters of Science in Mathematical Epidemiology

African Institute for Mathematical Sciences (AIMS) Cameroon

September 2025 - 2027

Master of Science in Mathematical Analysis

University of Dschang

2022-2024

Bachelor of Science in Applied Mathematics

University of Dschang

2021-2023

Experience

Home Instructor

September 2024 July 2024

skills

Python, JavaScript, C / C++, R, MongoDB, SQL, React, ReactNative, Pandas, Numpy, Matplotlib, SciPy, Next.js, PyTorch, English, French, Git / Github / GitLab, Google Cloud

Areas of Competence

Mathematical modeling, Disease forecasting, Hypothesis testing, Optimization, Epidemiological modeling, Simulation

Country

Cameroon

Bibiane Syriane Kamwa

Mathematical Epidemiologist

Mathematical Epidemiologist

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