Alex Rivera, MSc
United Kingdom · Independent Guest Contributor
Alex Rivera, MSc, is an early-career data scientist and research associate working in real-world health data analysis. With a background in biostatistics and health data science, he works with large-scale clinical datasets — electronic health records (EHR), claims data, and wearable- and app-generated data — to evaluate treatment outcomes in metabolic and chronic disease.
His focus is data cleaning, statistical modeling, and turning real-world evidence into actionable insight: adherence patterns, effectiveness metrics, and patient-reported outcomes for peptide-based therapies and GLP-1 receptor agonists. For Protocol+, Alex helps translate complex datasets into practical, evidence-based observations relevant to digital health and peptide tracking.
Areas of expertise
- Real-world evidence (RWE)
- Biostatistics and statistical modeling
- Electronic health records (EHR) and claims-data analysis
- Wearable and app-generated data
- Treatment adherence and effectiveness metrics
- GLP-1 outcomes research
Alex Rivera, MSc is an independent guest contributor and is not employed by or affiliated with Protocol+. His involvement is limited to sharing subject-matter input and contributing guest articles and expert review on selected topics; any views expressed are his own. The Protocol+ team is grateful for his support.