Consulting
Data Science Consulting
Advanced biomedical datasets require modern analytical frameworks to extract meaningful and reliable insights. I apply data science methodologies tailored to life sciences and healthcare research environments.
Consulting Services
Data-driven decision-making depends on robust modeling and transparent analysis. Below are consulting areas focused on advanced analytics and methodological rigor.
Data Science & Machine Learning for Life Sciences
Applied machine learning and predictive modeling tailored to biomedical data, real-world evidence, and translational research.
rstudio
RStudio is a popular open-source software platform for data science, including statistical consulting. It provides a comprehensive set of tools and resources for data manipulation, visualization, and statistical analysis, and is widely used by statisticians and data scientists for consulting projects.
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