Consulting
Health Technology Consulting
Digital health innovations and medical technologies must be supported by rigorous analytical validation to ensure performance, safety, and evidentiary strength.
Consulting Services
Health technology solutions require statistical robustness to support clinical and regulatory acceptance. Below are consulting areas where advanced analytics strengthens evidence development.
Disease Surveillance Consulting
Advanced analytics for disease monitoring systems, epidemic forecasting, real-time surveillance data interpretation, and public health response optimization.
Digital Health & Wearable Technologies
Statistical validation and data analytics for wearable devices and digital biomarkers in clinical and real-world settings.
Digital Health Solutions & Medical Device Statistics
Analytical and statistical frameworks supporting digital therapeutics, remote monitoring platforms, and health innovation.
Professional Background & Expertise
"Academic Excellence and Statistical Leadership"
Academic & Professional Background
- 10 Years as University Lecturer: Established educator of complex statistical concepts
- Academic Leadership: Former Chairman and President of Mathematics and Statistics Student Association at Université de Montréal
- Bilingual Expertise: Skilled at explaining complex concepts in both French and English
- Educational Philosophy: "He has a deep understanding of statistics, yet is able to skillfully explain complex concepts to people with little-to-no background in statistics both in French and English." - Close collaborator
Research & Publication Impact
- Academic Citations:Contributing to high-impact research across multiple disciplines
- Published Collaborations: Co-author on prestigious journal publications including COVID-19 immunity research
- Cross-Disciplinary Research: Working with academics in immunology, virology, nephrology, neurology, epidemiology, psychiatry, social cognition science, agronomy, ecology, and more
- Industry Experience: Collaboration with biotech and biopharma R&D teams, randomized trials and real-world evidence studies
Statistical Specializations
- Core Statistics: Comprehensive expertise in advanced statistical methodology and modelling
- Biostatistics Focus: Specialized applications in biological and health sciences
- Causal Inference: Modern methods for understanding cause-and-effect relationships
- Study Design:Experimental design, methodology, and data analysis
- Machine learning and AI: Industry experience in leveraging big data, algorithms and causal AI
- Consulting Excellence: Helping scientists bring research to life through best statistical practices