Consulting
Drug Development Consulting
Drug development requires integrated quantitative strategy across pharmacology, modeling, and statistical evaluation. I support therapeutic programs with rigorous analytical frameworks from early research through submission.
Consulting Services
Quantitative methods play a critical role in guiding development decisions. Below are consulting areas focused on strengthening analytical integrity and scientific defensibility.
Advanced Biochemistry
Statistical support for biochemical research, protein analysis, enzyme kinetics, metabolic pathway studies, and molecular interaction modeling.
Chemistry Statistics
Specialized statistical methods for analytical chemistry, quality control data, chemical process optimization, and method validation in pharmaceutical and industrial settings.
Pharmacology & Drug Development
Quantitative pharmacology and statistical strategy guiding early-phase development through regulatory submission.
Advanced Pharmacokinetics & Pharmacodynamics Consulting
Advanced PK/PD modeling and exposure-response analysis to support dose selection, optimization, and regulatory-ready drug development strategies.
Biosimilar & Advanced Therapy Statistics
Statistical strategy and comparative analytics for biosimilars and advanced therapies, supporting equivalence, safety, and regulatory submissions.
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