Paris, Île-de-France, France
I’m a health economist and data scientist with a PhD in Statistics and Cognitive Science, and advanced degrees in Econometrics and Health Economics. My expertise lies in leveraging real-world data to generate actionable insights for healthcare decision-making. Over the past 12+ years, I’ve led and contributed to numerous epidemiological studies and economic evaluations across Europe, the US, and Asia. I specialize in analyzing large-scale longitudinal datasets, developing algorithms to map treatment pathways, and applying advanced statistical techniques to support Health Technology Assessment (HTA) submissions. I bring a global perspective on the landscape of secondary data sources, having worked extensively with registries, claims, and EMR data from diverse healthcare systems around the world. This international experience enables me to guide clients in selecting and using the most appropriate data to meet their evidence generation goals. I also taught Health Economics at ISUP (Institut de Statistique de l'Université de Paris), where I shared my knowledge and practical insights. Currently at Syneos Health, I help clients navigate complex healthcare challenges by transforming data into evidence that drives policy, access, and outcomes.
- Led analytical projects within the HEOR team, including indirect treatment comparisons and real-world data analyses using electronic medical records (EMR) and claims databases. - Conducted landscaping and fit-for-purpose feasibility assessments of secondary data sources across multiple countries to support evidence generation strategies. - Led multi-country secondary database studies (including insurance claims, registries, EMR data) for dissemination purposes and/or as part of post-authorisation safety studies (PASS) requested by the European Medicines Agency (EMA).
Syneos Health™ is the only fully integrated biopharmaceutical solutions organization. Our company, including a Contract Research Organization (CRO) and Contract Commercial Organization (CCO), is purpose-built to accelerate customer performance to address modern market realities. Created through the merger of two industry leading companies — INC Research and inVentiv Health — we bring together more than 23,000 clinical and commercial minds with the ability to support customers in more than 110 countries. Together we share insights, use the latest technologies and apply advanced business practices to speed our customers’ delivery of important therapies to patients. In short, we are shortening the distance from lab to life
- Conducted health economic and epidemiological research utilizing secondary data (registries, claim data, EMR data) - Handled and analyzed data from large longitudinal databases in Europe (e.g. CPRD, HES [UK], EGB, PMSI [France], Cegedim data [Spain,Netherland]), US (MarketScan/PharMetrics) and Asia (JDMC, MDV [Japan]) in different disease areas (incl. diabetes, Parkinson’s disease, mental disorders, urological diseases, dermatological diseases, women’s health) - Developed specific tools to facilitate data analysis and, more especially, algorithms to describe treatment pathways using retrospective longitudinal prescription data - Applied a wide range of advanced analytical techniques to Health Economics and Outcomes Research problems - Participated to HTA submissions (adapting existing models, writing of reports)
--Title-- Use of large longitudinal non-clinical databases in the description of pharmaco-therapeutic pathways in patients with a chronic disease. -- Titre -- Utilisations des grandes bases de données non cliniques dans la description des trajectoires pharmaco-thérapeutiques de patients atteints d'une maladie chronique.
- Assessment of Healthcare expenditures in depressed patients based using the UK General Practice Research Database (GPRD) and the Pharmetrics US Database - Data management, Statistical analysis using SAS software, writing of reports.