Anas H. Alzahrani
I build research infrastructure — the methods, teams, partnerships, and tools that turn ideas into impact.
Four pillars of impact
Strategy and leadership first. Technical depth on demand.
Research & Causal Inference
Rigorous study design, causal inference, and real-world evidence — from 75M+ patient records to methods papers.
- Propensity score matching, IPW, instrumental variables, target trial emulation
- Multi-state claims databases (1990–2022), Spark, HPC
- Causal inference visual framework — submitted to Current Epidemiology Reports
- Tooling across Stata, Python, R, SAS, SPSS
Institutional Strategy
Designing cross-border collaboration architectures that scale research capacity across academia, government, and industry.
- Deputy Director, Local & International Collaboration Unit
- MOUs, student exchanges, and joint research programs
- Partnerships bridging US, Europe, Asia, and the Middle East
- Executive programs with humanitarian organizations
Innovation & AI in Health
AI-powered clinical decision support, living guidelines, and research tools for the next generation of evidence.
- 2.5M SAR grant — CDSS for antibiotic prescribing optimization
- Automated Guideline Expansion Framework (AGEF)
- Living clinical guidelines with automated evidence synthesis
- AI-assisted research workflows and interactive tools
Education & Mentorship
Training physician-scientists through courses, mentorship, and tools that build lasting research competence.
- Teaching Medical Biostatistics (MSTA112) and Principles of Clinical Trials
- Mentoring master's students and international capstone teams
- Grand Award Judge at Intel ISEF
- Visual-first pedagogy: real datasets, decision trees, "why this fails" examples
Strategy before statistics
Systems thinking, not single papers. Infrastructure, not isolated wins.
Training the next generation
Courses, mentorship, and tools that turn learners into researchers.
📚 Courses
Core courses for medical and graduate students at King Abdulaziz University.
🧭 Mentorship
Supervising master's theses, mentoring international capstone teams, and guiding physician-scientists in study design and causal methods.
🎯 Approach
Visual-first pedagogy. Real datasets over toy examples. Decision trees, infographics, and "why this fails" exercises.
View Lecture LibraryWhat I'm building
Research tools, clinical systems, and evidence infrastructure — under Coefficients Health Analytics.
🧪 ProtoCol
AI-assisted clinical trial protocol builder. Design study protocols with guided workflows and automated structure.
Open ProtoCol →🎲 Randomization Tool
Simple, block, stratified, and minimization randomization for clinical trials. Open-source and ready for pragmatic trials.
Coming soon🏥 CDSS
AI-powered clinical decision support for antibiotic prescribing. 2.5M SAR funded. Targeting URTI, UTI, and LRTI protocols.
In development📋 Living Guidelines
Dynamic clinical practice guidelines that update automatically as new evidence emerges. Automated evidence synthesis.
In development📐 Causal Inference Templates
Reusable frameworks for PSM, IPW, and target trial emulation. Interactive prompts that walk through study design.
Coming soon🔍 Petri
AI auditing tool for research quality assurance and methodology review.
In developmentSelected work
Full list on ORCID. Peer reviewer for JAHA, Circulation, Cancer Medicine, Heart, and Frontiers in Medicine.
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2026Causal Inference Methods: A Visual Framework for Epidemiological Research SubmittedCurrent Epidemiology ReportsA comprehensive visual framework making causal inference methods accessible to clinical researchers and epidemiology trainees.
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2024Choice of revascularization strategy for ischemic cardiomyopathy due to multivessel coronary diseaseJournal of Thoracic and Cardiovascular SurgeryMulti-state claims analysis comparing CABG vs PCI outcomes in ischemic cardiomyopathy with multivessel CAD.
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2024Temporal Trend in Revascularization for Patients With Ischemic Cardiomyopathy and Multivessel CADJournal of the American Heart AssociationTemporal trends in revascularization strategy selection using national claims data.
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Propensity-matched comparison of grafting strategies in diabetic CABG patients.
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2018Endoglin haploinsufficiency & differential regulation of ECM during skin fibrosis and cartilage repairJournal of Cell Communication and SignalingFoundational work on extracellular matrix regulation during tissue repair — McGill University.
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2016Outcomes after open infrainguinal bypass in patients with sclerodermaJournal of Vascular SurgerySurgical outcomes analysis in a rare but clinically important population — Johns Hopkins.
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2016Prevalence and Correlates of Lower-Extremity Amputation in Diabetic Foot UlcerInternational Journal of Lower Extremity WoundsRisk factors for lower-extremity amputation in diabetic foot ulcer patients in Jeddah.
Four continents. One mission.
Each chapter focuses on what was built, not just where.
Assistant Professor at King Abdulaziz University. Deputy Director of international collaboration unit. Teaching MSTA112 and Clinical Trials. Leading a 2.5M SAR CDSS grant. Building partnerships across the US, Europe, and Asia. Mentoring the next generation of physician-scientists.
PhD in Clinical Research at Icahn School of Medicine at Mount Sinai. Analyzed 75M+ patient records across multi-state claims datasets. Advanced causal inference in cardiac surgery outcomes. Co-authored with leaders at Harvard, Mount Sinai, and Johns Hopkins.
Vascular surgery residency at Lund University, Sweden. MPH in Epidemiologic & Biostatistical Methods at Johns Hopkins. Built foundations in clinical epidemiology, tissue repair, and vascular outcomes research.
Research fellowships at McGill University (fibrosis, tissue regeneration, in-vivo/in-vitro) and Johns Hopkins (NSQIP, STS databases, predictive modeling). Clinical training at Montreal General, Jewish General, King's College London.
Thinking out loud
On research strategy, causal inference, and building tools for science.
📰 The Critique — Clinical Trial Reviews
Independent methodology critiques of landmark trials. With audio narration, score cards, and the details journals skip.
Subscribe free on Substack →Why causal inference belongs in every clinical program.
Read on LinkedIn →Instrumental variables and AI-assisted research design.
Read on LinkedIn →Building health data infrastructure that actually scales.
Read on LinkedIn →Visual Research Guides
A complete visual curriculum — from survival analysis through the full causal inference toolkit. 9 guides. Click to expand.
Let's build something useful
Research collaborations, institutional strategy, or evidence tooling — reach out.