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Credentials & Background

I am an epidemiologist and scientific editor with over 10 years of experience in academic research, publishing, and methodological consultation. My work spans maternal and child health, nutrition, metabolism, and public health research, with a focus on scientific clarity and methodological rigor in scholarly communication.

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Research Expertise

My research experience spans over a decade and focuses primarily on maternal and child health, with particular emphasis on:

  • Metabolism and nutrition

  • Inflammation and inflammatory biomarkers

  • Health-related behaviors

  • Child health outcomes, including neurodevelopmental, respiratory, and allergic conditions

  • Diabetes and cardiometabolic outcomes

  • Dietary exposures to contaminants

 

I have authored peer-reviewed publications in international journals and presented research findings at international scientific conferences.

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Check out my publications here:

Teaching & Academic Service

  • Teaching assistant in epidemiology and biostatistics for Master’s level (M2) students at the École des Hautes Études en Santé Publique (EHESP) (since 2020)

  • Regular member of Master’s thesis juries

  • Regular peer reviewer for international scientific journals

Epidemiology & Methodological Expertise

Study Designs​

  • Analysis of data from prospective cohort studies and nested cross-sectional analyses.

  • Strong understanding of study design methodology, including the strengths, limitations, and potential biases of different observational designs.

  • Applied expertise informed by teaching and mentorship at the École des Hautes Études en Santé Publique (EHESP).​

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Causal inference and analytical frameworks

  • Confounding control and causal model specification

  • Mediation analysis (causal and regression-based approaches)

  • Inverse probability weighting

  • Sensitivity analyses

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Longitudinal, multilevel, and time-to-event analyses

  • Analysis of repeated measures

  • Multilevel (hierarchical) modeling

  • Survival (time-to-event) analysis, including Cox proportional hazards models

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Statistical modeling and data reduction

  • Generalized linear models:

    • Linear regression

    • Logistic regression

    • Poisson regression

  • Principal component analysis

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Missing data

  • Multiple imputation strategies

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Applied data analysis

  • Construction and operationalization of exposures and outcomes

  • Interpretation and presentation of results for academic publication

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