Freelancer profile translated to English.

Description

Data Scientist and biostatistician with over ten years of experience at the intersection of health, research, and software systems.

I support teams and organizations in structuring, exploiting, and leveraging complex data, applying artificial intelligence, and developing large-scale analytical systems.

My work focuses particularly on:

• designing robust data pipelines and analytical infrastructures;

• extracting, structuring, and validating complex documentary data;

• OCR / NLP workflows and document reliability systems;

• monitoring, analysis, and decision support tools in clinical and health environments;

• developing applications and systems focused on real-world use and operational continuity.

I have worked alongside clinicians, researchers, software engineers, and product teams in hospital, public, and technology settings.

I favor pragmatic approaches, reliable systems, and solutions designed for sustainable, large-scale use.

Industry field of expertise

Languages

French
Native or bilingual
English
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Leutaz Lab
Founder & Lead Data Scientist
HEALTH AND WELLNESS
August 2023 - Today (3 years)
Paris, France
Development of a documentary AI platform for the extraction and validation of heritage documents.
Design of OCR/NLP tools for automating financial workflows.
Development of a physiotherapy monitoring and support application.
Creation of data pipelines and backend systems for health and AI applications.
NLP Data Pipeline Data Engineer recommender-systems ai-and-advanced-analytics
Assistance Publique - Hôpitaux de Paris
Senior Data Scientist
HEALTH AND WELLNESS
June 2020 - July 2023 (3 years and 1 month)
Paris, France
Development of machine learning algorithms for automatic extraction of clinical information from electronic medical records of patients with rare diseases.
Conducting epidemiological studies on patients with rare diseases.
Development of tools for anonymizing patient identifiable data and creation of a research registry for rare diseases, de-identified and widely accessible to the scientific community.
Implementation of a deduplication algorithm based on record linkage.
Contribution to the development of an automated COVID dashboard for AP-HP.
algorithms-and-data-structures Data science Data Engineer NLP deep-learning
Beth Israel Deaconess Medical Center
Biostatistician
HEALTH AND WELLNESS
September 2017 - September 2019 (2 years)
Boston, United States
Analysis of magnetic resonance imaging (MRI) data using statistical, machine learning, and deep learning methods to understand the impact of brain lesions on brain function.
Design and execution of statistical analyses for several published research projects.
Development of a web platform for MRI data analysis, allowing physicians and researchers to use cutting-edge quantitative methods.
Maintenance and development of the laboratory's IT infrastructure using system administration and programming tools.
computer-vision-image-processing Data science Data Analysis Neurosciences Data Engineer