Scientific Literacy for Organizations Workshop
Sharpen your team’s ability to critically evaluate scientific evidence and challenge the research behind every claim.
Designed for professionals already working in pharma, biotech, and life sciences, this workshop goes beyond surface-level reading. Your teams will develop the rigorous critical appraisal skills needed to spot methodological weaknesses, question statistical conclusions, and make stronger evidence-based decisions — even when the evidence is ambiguous or conflicting.
Workshop Specialities
Automated Causal Discovery from Real-World Data
Navigate any research article with confidence, from abstract to supplementary data.
- The anatomy of a research paper: abstract, introduction, methods, results, discussion
- Spotting key quality indicators before reading the full paper
- Identifying the research question, population, and study design at a glance
- Understanding what peer review does and does not guarantee
- Common red flags in poorly conducted or reported research
- Best practices for efficiently screening large volumes of literature
Double/Debiased Machine Learning & Heterogeneous Effects
Know the difference between a strong study and a weak one before trusting its conclusions.
- The hierarchy of evidence: from case reports to systematic reviews
- Why RCTs are the gold standard and when they are not feasible or ethical
- Observational designs: cohort, case-control, and cross-sectional studies
- Understanding what a study can and cannot prove by design
- Recognizing selection bias, confounding, and other major threats to validity
- Matching study design to research question and spotting mismatches
Counterfactual Prediction & Individual Intervention Simulation
Go beyond reading numbers and learn to interrogate the statistical choices behind every result.
- P-values and their limits: why statistical significance is routinely misused in the literature
- Confidence intervals and what the width tells you about study precision
- Effect sizes and clinical significance: the gap that drives bad decisions
- Relative vs. absolute risk and how framing changes how evidence lands with stakeholders
- Reading forest plots, funnel plots, and subgroup analyses with a critical eye
- Identifying post-hoc fishing, multiple comparisons abuse, and p-hacking in published work
Synthetic Data & Causal Digital Twins
Develop the causal reasoning skills that prevent costly misinterpretations of research.
- Why correlation is not causation, with real-world examples from healthcare and industry
- Introduction to causal thinking and directed acyclic graphs (DAGs) without the math
- Common logical fallacies in scientific and media reporting
- How confounding variables distort conclusions and what researchers do about it
- Key questions to ask before accepting any causal claim
- Applying causal reasoning to your organization's evidence-based decision-making
Causal AI + Large Language Models Integration
Go beyond individual studies to engage with the highest level of scientific evidence.
- What makes a systematic review different from a narrative or expert review
- How to read a PRISMA flow diagram and evaluate inclusion and exclusion criteria
- Understanding heterogeneity: when to trust pooled results and when to be skeptical
- Recognizing publication bias and how funnel plots reveal it
- The GRADE framework for rating overall evidence quality
- How to use Cochrane Reviews and other evidence synthesis databases effectively
Industry Applications & Deployment Roadmap
Build internal systems that turn scientific evidence into clear, confident recommendations.
- Translating research findings into organizational recommendations and strategy
- External validity: does this study's population and context apply to yours?
- Building a practical internal framework for evidence-based decision-making
- Communicating scientific uncertainty clearly to non-scientific leadership
- Navigating conflicting evidence and rapidly evolving guidelines
- Take-home templates and tools for structured evidence review
Bring practical, evidence-focused training directly to your team. Through hands-on workshops, I help pharma, biotech, and life sciences professionals develop the critical appraisal skills needed to interrogate research, challenge statistical conclusions, and make stronger evidence-based decisions that hold up under scrutiny.
Flexible Delivery Options
Intensive Multi-Day Workshops
Typically 2–5 day intensive programs. Fully flexible to match your timeline. Featuring hands-on projects and real-world case studies. Certificate of completion included.
Custom In-House Training
Fully tailored programs at your facility or virtual. Aligned with your tools, processes, and therapeutic areas.
Modular Course Series
Monthly or quarterly workshops for continuous skill development from beginner to advanced levels.
On-Demand Support
Post-training consultation for specific project challenges and expert review of analyses.
Organizations We Train
Pharmaceutical & Biotech
Drug developers, medical affairs, regulatory departments, CROs
Academic Research
Universities, hospitals, government research labs
Public Health
Government agencies, parapublic institutions
Medical Device & MedTech
R&D, clinical affairs, post-market surveillance
Real Applications
12-Hour RWE Intensive for Pharma Company
Delivered a library of training material that is re-used to train and onboard new analysts.
Quarterly Causal Inference Series for Biotech
Monthly office-hours to tackle any challenges faced by client’s teams through Q&A and open discussions about potential solutions and foreseeable difficulties.
Regulatory Biostatistics Onboarding for CRO
Custom small group training to review and enhance statistical analyses of complex biotechnology experiments. Developed re-usable templates tailored to client’s needs for future statistical analyses.
Expert Consultant & Educator
University Teaching Experience
Lecturer at HEC Montreal and ETS Montreal with proven methods for making complex concepts accessible.
Real-World Consulting
Daily work with pharma and biotech organizations ensures training reflects current industry practices.
Thought Leader
Audiences of thousands follow me online for deep and incisive thought-leadership in biostatistics
Customized Content
Tailored to your therapeutic areas, software, regulatory needs, and team levels.
Ongoing Support
Follow-up assistance to ensure successful application of new skills.
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