Freelancer profile translated to English.

Description

PhD student in experimental psychology, I specialize in the statistical analysis of data from the human sciences. I assist researchers, academic teams, and project leaders in statistical modeling, data visualization, and choosing appropriate analyses (ANOVA, regressions, mixed models, bootstrap, non-parametric tests, etc.).

I primarily work with R and have solid experience in experimental design, behavioral data processing, and producing interpretable graphics suitable for scientific publication.

Services offered:

• Data set processing and cleaning

• Robust and reproducible statistical analyses

• Scientific visualizations (boxplots, forest plots, histograms…)

• Methodological support for hypothesis formulation and test selection

My approach combines methodological rigor, clarity in interpretation, and adaptation to the technical level of each client.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

Université de Lausanne
Teaching Assistant for Experimental Methodology
September 2024 - Today (1 year and 9 months)
I am involved in teaching experimental methodology in psychology at the Bachelor's level, where I assist students in understanding the fundamental principles of experimental research.

My responsibilities include:

Explaining key concepts such as hypothesis construction, experimental planning, result validity, variable control, and methodological biases
Supporting the understanding of experimental programming procedures (e.g., via PsychoPy) and the general steps of a research protocol
Assisting in the theoretical understanding of experimental data analysis, in relation to study objectives
Guiding the choice of appropriate statistical analyses based on hypotheses and experimental design
Supporting students in sessions, by individually answering their questions or clarifying concepts covered in class

This position has allowed me to deeply consolidate all my methodological skills, particularly in experimental logic, applied statistical analysis, protocol programming, as well as scientific pedagogy and the simplification of complex technical concepts.
Scientific Outreach Data Analysis
Université de Lausanne
PhD Student in Psychology
September 2024 - Today (1 year and 9 months)
As part of my PhD, I conduct experimental research on emotions and their regulation. I am responsible for all analytical stages related to my empirical studies, from programming experimental protocols to statistical analysis and visualization of results.

My activities include:

Experimental programming (PsychoPy, Python) and management of complex protocols
Advanced statistical analysis in R: MANOVA, multiple regressions, linear mixed-effects models, bootstrap methods, permutation tests, statistical simulations, non-parametric analyses, meta-analyses, and result synthesis
Scientific data visualization, with a high command of the following representations: Scatterplots, boxplots, barplots, histograms, densities, forest plot type graphs for meta-analyses, multivariate visualizations, and custom graphs for publication
Cleaning, structuring, and reproducible analysis of experimental data using documented and automated scripts

This experience has allowed me to develop in-depth expertise in complex data analysis, statistical programming, and clear, rigorous presentation of scientific results.
Python R Data Analysis Data Visualization Scientific Outreach
Université de Genève
Assistant in Statistics Research and Teaching
September 2022 - June 2024 (1 year and 9 months)
For two years, I contributed to teaching applied statistical methods for psychology students (Bachelor's level), primarily supporting tutorial and practical sessions.

My responsibilities included:

Verifying and adapting statistical scripts on various software (R, SPSS, Statistica) before sessions
Providing technical support to students during tutorials/practical sessions on analyses such as: Linear and logistic regressions, ANOVA, ANCOVA, Correlation tests, Non-parametric methods, bootstrap, permutation
Assisting with code error resolution, understanding statistical outputs, and organizing datasets
Holding individual office hours to answer technical and methodological questions

This position allowed me to develop advanced proficiency in statistical tools and applied modeling, as well as the ability to process and interpret data from experimental and behavioral research.
R Statistics Statistical Modeling Coding Data Visualization