Two Decades of Clinical Data Leadership
Translating clinical intent into high-integrity data pipelines. Over twenty years of statistical programming and medical insight deployed across global clinical trials.
Bridging Medicine and Code
A protocol is only as powerful as the program executing it. With a foundation as a medical doctor, my work ensures that complex clinical data preserves its clinical truth throughout the computational pipeline.
From CDISC compliance to predictive modeling, I build the statistical infrastructure that transforms raw clinical observations into peer-reviewed, publication-ready real-world evidence.
Professional Trajectory
Leading CDISC-compliant statistical programming and predictive analytics. Directing high-integrity data pipelines for global clinical trials and real-world evidence research.
ICON plc & UBC
Developed complex statistical programs in SAS, R, and Python. Specialized in clinical-to-code translation and advanced observational study methodologies.
Clinical Research
Leveraging medical training to bridge the gap between clinical protocols and database designs, establishing rigorous data standards from the ground up.
Clinical Medicine
Methodological Rigor
Clinical Data Standards
Advanced Analytics
Real-World Evidence
CDISC / ADaM standards, SDTM conversion, and legacy data integration. Ensuring absolute compliance and structural integrity across all clinical submissions.
Advanced predictive analytics, natural language processing, and machine learning pipelines built in Python and R for complex health datasets.
Designing and executing observational study protocols, translating real-world healthcare data into robust, peer-reviewed clinical evidence.