Barcelona · Health, policy & applied AI
I build data systems that turn complex evidence into better decisions.
Senior data scientist · Economist
I work across healthcare, public policy, and applied AI—building rigorous models and practical tools that help institutions act with greater confidence.
Profile
01Economist by training.
Data scientist by practice.
My work sits where analytical rigor meets operational reality: late or imperfect data, high-stakes decisions, and teams that need evidence they can actually use.
At Causal Foundry, I build healthcare-financing and provider-performance systems from large-scale claims data. Previously, I developed pricing, forecasting, experimentation, and recommendation systems across industrial, retail, and digital-health settings.
Read my career storyHow I create value
02Frame the decision
Turn ambiguous policy or business questions into measurable outcomes, credible counterfactuals, and decision-relevant metrics.
Build the evidence
Design reproducible data pipelines, statistical models, experiments, and monitoring systems that make uncertainty visible.
Connect insight to action
Translate technical results into tools and recommendations that policy, product, and operational teams can use responsibly.
Selected work
03Evidence-led systems for consequential decisions.
View all work
Turning bilingual news into an auditable food-crisis verification queue
Designed a transparent English–Arabic screening system that prioritizes locations for analyst review while preserving uncertainty, source diversity, and article-level evidence.
- 167risk-factor phrases
- 357geographic entities
- 5Mashriq countries
Claims-driven health financing
Built models and monitoring systems for provider performance, capitation reform, prescribing quality, and operational decision support.
Pricing leakage and optimization
Developed anomaly detection, elasticity, and uplift models across a complex industrial product portfolio.
Experience
04Eight years building across sectors, with one consistent focus: useful evidence.
View full CVCausal Foundry
Healthcare AI, claims analytics, health financing, and provider performance
ZF Group
Pricing optimization, elasticity, uplift modeling, and anomaly detection
Benshi AI
Digital health, forecasting, recommender systems, and experimentation
Research & analytics
Quantitative economics, political violence research, and business intelligence
Research
Work designed to travel beyond the model.
Writing
Notes on systems, experiments, and applied machine learning.
- Designing A Recommendation System For Search In Ecommerce2023
- Designing Machine Learning Solution For Course Recommendation2022
Let’s work on something that matters