Freelancer profile translated to English.
Back to original languageAbout Juliette
Doctorate in neuroscience trained in data science, I support companies and organizations in their fundamental or applied research projects.
I intervene upstream or in support of R&D, innovation, health, and user experience projects, to evaluate the state of knowledge (framing scientific questions), structure research protocols, analyze experimental results, and support their scientific valorization.
Key Expertise
- Scientific watch and bibliographic research (state of the art, literature reviews)
- Critical analysis and synthesis of scientific publications
- Data analysis and modeling (statistics, data science, machine learning)
- Applied neurosciences (olfaction, cognition, sensory perception, pain, memory)
- Scientific writing and results valorization
Missions & Deliverables
- Writing and submission of scientific articles (support possible throughout the publication process)
- Scientific communication materials for conferences or other uses (abstracts, posters, presentations, popularization and decision-support materials)
- Data analysis: statistical analyses, modeling (including, where applicable, machine learning or deep learning algorithms),
- Scientific and technical summary reports, analysis reports
- Methodological support for research projects (study design, methodological choices, analysis strategy)
- Training materials
Experience & Areas of Intervention
I have led projects ranging from academic research to applied research in companies, including:
- Public research: analysis of brain aging mechanisms and exploration of prevention strategies
- Health: development and evaluation of digital therapies for chronic pain
- Cosmetic industry: studies on the memorability of odors and sensory perception
French
Native or bilingual
English
Fluent
Can work on-site
Lyon (up to 50km), Paris (up to 50km), Bordeaux (up to 50km), Grenoble (up to 50km), Nice (up to 50km)
Experience
- Centre de Recherche de l'Institut LyfeIndependent Researcher in Neuroscience and AIRESEARCHFebruary 2026 - Today (4 months)Lyon, France
Advanced Modeling of Odor Memorability
Extension of modeling work aimed at identifying and predicting the determinants of odor memorability from enriched data and more complex olfactory stimuli.- State of the art on the cognitive and perceptual determinants of olfactory memory (identification and integration of new explanatory factors for odor memory)
- Screening and mapping of olfactory databases for the selection of complex odors (odor mixtures)
- Development of advanced statistical and machine learning models for memorability prediction
- Production of technical reports detailing methods and results
- Presentation of results to teams
- Scientific valorization
- Centre de Recherche de l'Institut Lyfe & L'Oréal Recherche et InnovationPostdoctoral Researcher in Neuroscience and AIRESEARCHFebruary 2024 - December 2025 (1 year and 10 months)Lyon, France
Analysis of Odor-Evoked Memories and Modeling of What Makes an Odor Memorable
- Data analysis and modeling to identify and predict factors influencing odor memorability (statistical and machine learning tools)
- Production of detailed technical reports on the analysis tools used, and on the results
- Presentation of results to teams
- Scientific valorization: publication of a scientific article, presentation on olfactory memory and olfactory experiences at SFAS 2024, presentation of results at GDRO3 2024
- LucineResearch Scientist in NeuroscienceMEDICALJanuary 2022 - March 2023 (1 year and 2 months)Bordeaux, France
Development of Digital Therapies to Combat Chronic Pain
- Scientific, technical, and competitive intelligence to guide innovation
- Design and structuring of therapeutic protocols and associated databases
- Analysis and interpretation of clinical study data
- Writing of scientific reports and decision-support materials for R&D teams and management
- Results valorization: publication of a clinical research article demonstrating product efficacy, publication of a review article on the state of the art in digital therapies, presentation of results at the IASP congress in Toronto 2022
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Education
- Data science (bootcamp)Liora, co-certified by Mines ParisTech PSL2023285 heures de cours : - Fondamentaux : programmation Python, Pandas, Numpy - Data visualisation : Matplotlib, Seaborn, Bokeh - Machine Learning : classification, clustering, régression avec Sickit-Learn, séries temporelles, réduction de dimension, text mining, théorie des graphes avec Network X - Data Engineer : SQL, PySpark - Deep Learning : DNN, CNN, Transfer Learning avec Keras, Tensorflow 120 heures de Projet : Problème de classification pour prédire le diagnostic de patients au COVID-19 à l'aide de radiographies pulmonaires. - rapport d'exploration : data visualisation et pre-processing, - rapport de modélisation, - rapport final et GitHub associé
- PhD in NeuroscienceUniversité Claude Bernard Lyon 12021Thèse « Olfaction : marqueur et outil pour bien vieillir » - Financement Fondation E. Roudnitska (Fondation de France).
Certifications
- Regression with scikit-learnDataScientest2023
- Clustering with scikit-learnDataScientest2023