Statistical Analysis & Modeling
Bayesian/hierarchical models, survival analysis, meta-analysis, power & sample size
Services
Quantitative expertise for biotech, pharma, and healthcare decisions
Causal Inference
DAGs, propensity scores, IV, difference-in-differences, synthetic controls, g-methods
Data Pipeline Design
Reproducible ETL, versioned datasets, schema validation, lineage tracking
Study Design Review
Protocol critique, simulation-based power, adaptive designs, bias mitigation
Quantitative Due Diligence
Technical diligence for biotech/healthcare investments, model audit, data quality assessment
Data-Driven Decision Frameworks
Decision analysis, value of information, threshold analysis, regulatory strategy support
Don't see exactly what you need? Let's talk — we often design custom engagements that combine methods across these areas.
How We Engage
A lightweight process built for clarity and momentum
Discovery
30–60 minute call to understand your question, data, constraints, and decision context. No charge.
Scope & Plan
We propose a focused scope with clear deliverables, timeline, and success criteria. Fixed-fee or milestone-based.
Execute
Analysis in reproducible notebooks/pipelines. Weekly syncs. Intermediate reviews so there are no surprises.
Deliver & Transfer
Final report, code, and data artifacts. Walkthrough with your team. Optional retainer for ongoing support.
Have a project in mind?
Let's discuss your question, data, and what a successful outcome looks like.
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