Freelancer profile translated to English.
Back to original languageAbout Marc
Trained by academia (ENS Paris and ETH Zurich), I now leverage my theoretical knowledge in applied mathematics & statistics to solve concrete problems related or unrelated to research. I am particularly motivated by working on projects that are useful to society, in various fields such as public health, medicine, agronomy, ecology.
My activity is based on two pillars:
- data analysis to answer client questions, and
- teaching statistics basics to enable clients to analyze their data autonomously.
I can help you to
- formalize the questions you want to answer,
- model your dataset using statistical tools,
- visualize your dataset in a relevant way,
- use classic statistical modeling tools (fitting a simple distribution, statistical testing, significance, power)
- use more modern tools for high-dimensional data exploration or training appropriate classification models on large datasets (regression, random forests, SVM, neural networks).
Particularly comfortable with issues and jargon from biology and public health, I am also very curious to explore new subjects.
French
Native or bilingual
English
Fluent
Can work on-site
Grenoble (up to 50km), Paris (up to 10km), Lyon (up to 10km)
Experience
- Marc ManceauData scientistCONSULTING AND AUDITSNovember 2021 - Today (4 years and 7 months)Grenoble, France
- High-dimensional classification models.
- Data visualization.
- Formalization of scientific questions.
- Writing statistical analysis reports.
- ETH ZurichPostdoctoral fellowship, Statistical modeling in epidemiologyMEDICALNovember 2018 - November 2021 (3 years)Bâle, Switzerland
- Probabilistic modeling in population genetics.
- Analysis of large genomic datasets for epidemiology.
- Numerical simulations and statistical inference.
- Writing scientific articles.
- Teaching probabilistic methods for the study of genomic data, for Master's students.
- Muséum National d'histoire Naturelle de ParisPhD, probabilistic modeling for the evolution of lifeRESEARCHSeptember 2015 - August 2018 (3 years)Paris, France
- Random tree models.
- Molecular evolution models (discrete traits).
- Phenotypic evolution models (continuous traits).
- Numerical simulations and statistical inference.
- Writing scientific articles.
- Teaching mathematics and statistics in Bachelor's degree.
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Education
- Diploma from ENSEcole Normale Supérieure2015Maths appliquées à la Biologie et Biologie / Ecologie / Evolution.
- Master's degreeUniversité Pierre et Marie Curie2013Maths appliquées et statistiques.