Biostatistics and healthcare data analysis for clinical research, large datasets, and predictive modeling.

M.D. graduate with a background in biomathematics and applied statistics. I work with large healthcare datasets and support clinical research through statistical modeling, data analysis, and study design.

My experience includes analyzing national datasets such as SEER and CMS Medicare files, with publications across ophthalmology, oncology, and population health. I regularly collaborate with physician–scientists and academic research groups on retrospective studies, survival analyses, and healthcare utilization research.

Technical tools include R, SAS, STATA, SPSS, and machine learning methods for predictive modeling and data-driven insights.

Work Terms

Available for statistical consulting, research collaboration, and data analysis projects. Services include dataset preparation, statistical modeling, survival analysis, and manuscript-ready results for academic or clinical research.

Project scope, timelines, and deliverables are defined before work begins, with regular communication throughout the project.