PhD Researcher | Biostatistics | Health Analytics | Longitudinal Health Data
Research activities focus on biostatistics, longitudinal health data analysis, digital health, and reproducible research methodologies. Areas of interest include mixed-effects modelling, repeated measures analysis, patient-reported outcomes, and the application of data-driven approaches to healthcare research. Current work investigates longitudinal patient trajectories and digital health interventions using scalable analytical frameworks designed to support rigorous, transparent, and reproducible health data analysis.
My research explores high-frequency longitudinal health data, digital health intervention evaluation, mixed-effects modelling, ecological momentary assessment, and healthcare digital twins.
Biostatistics Longitudinal Data Analysis Mixed-Effects Models Digital Health Health Data Science R Programming Python
Mixed-Effects Models for High-Frequency Longitudinal Health Data
IWSM 2026.
A Reproducible Analytics Workflow for Longitudinal Healthcare Digital Twins
IEEE CCGrid 2026 HEAD Workshop.
Statistical modelling, longitudinal analysis, mixed-effects models, data science, R programming, Python, reproducible research, health analytics, digital health systems, and research communication.
Email: research@kunalrehani.com