معرفی
Gaëlle Romain is a PhD Biostatistician in the Vascular Medicine Outcomes Research Program at Yale School of Medicine. She leads statistical analysis in the VAMOS Lab and collaborates on NIH-funded projects like the SCOPE-CLI registry and imaging studies. Her work focuses on cardiovascular outcomes, particularly peripheral artery disease (PAD), using advanced statistical methods including survival analysis, Bayesian approaches, and machine learning. Romain holds a PhD in Environmental Health Sciences from the University of Burgundy and has extensive experience in clinical trial design and registry data management.
Research Interests: Romain specializes in analyzing complex vascular outcomes data, competing risks modeling, and translational research bridging statistical methodologies with clinical applications. Her current projects investigate mortality/amputation risks in CLI patients, psychosocial factors in PAD care, and health equity in vascular interventions. Key areas include:
- Development of predictive models for post-revascularization outcomes
- Impact of guideline-directed therapies on PAD progression
- Machine learning applications in health status assessment
Key Projects:
- Lead statistician for NIH grants R21AT012430 (Pain Management Strategies) and R01HL163640 (Multi-isotope imaging)
- Principal analyst for the SCOPE-CLI registry (NCT04628543)
- Cross-validated amputation outcomes in Vascular Quality Initiative registries
Labs/Teams: VAMOS Lab (directed by Drs. Smolderen & Mena-Hurtado), collaborating with multidisciplinary teams in cardiology, epidemiology, and biomedical engineering.