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Statistical, epidemiological and data science consultancy for complex data and analytical decision-making

Ways to Work With Me

Retained Advisory

Fractional Leadership

Guaranteed monthly capacity acting as your fractional Chief Statistician. For research teams and evidence-led organisations that require ongoing, high-level methodological oversight and risk management.

  • Dedicated monthly hours
  • Methodological sign-off & strategy
  • Mentoring for in-house analysts

Project Delivery

End-to-end Execution

End-to-end statistical leadership on a specific project. I design the analytical pipeline, execute the complex modelling, and deliver the interpreted, publication-ready results.

  • Custom model development
  • Reproducible pipelines
  • High-level reporting & graphics

Analytical Audit

Discovery & Review

A concentrated review of your proposed analysis plan, existing models, or dataset geometry to ensure structural soundness before you commit heavy resources or submit a grant.

  • Model soundness check
  • Data-readiness assessment
  • Methodological risk report

AKALYSIS takes on the analytical work that requires senior statistical judgement: complex modelling, study design, longitudinal methods, and translating technically demanding results into outputs that drive real decisions.

My background is in health, epidemiology, and public policy, but the methods travel. Complex data challenges in commercial, academic, and government settings often share the same underlying structure. The offer is the same wherever you work: rigorous analysis, clearly communicated, and built to hold up under scrutiny.

How I Can Help

Statistical Modelling & Inference

Deploying robust classical Frequentist methods and advanced Bayesian frameworks for complex outcomes, including survival analysis, repeated-measures paradigms, forecasting problems, and predictive uncertainty estimation.

Complex and Longitudinal Data

Support for repeated, linked, multilevel, transactional, or time-evolving datasets, including transition processes, cohort structures, multivariate complexity, and data collected over time.

Analytical Strategy and Study Design

Expert advice on defining analytical questions, selecting appropriate methods, planning variables, identifying risks, and building a coherent statistical approach before wasted effort sets in.

Reproducible Pipelines

Development of robust and transparent workflows for cleaning, transforming, modelling, documenting, and reporting data in a reproducible and scalable way.

Interpretation & Reporting

Translating technically difficult outputs into clear, defensible results for papers, reports, strategy documents, grant applications, board discussions, or operational decisions.

Digital Tools for Statistical Insight

Translating complex models into interactive stakeholder simulators and custom web dashboards. I use digital development strictly as a vehicle to make high-level statistical outputs accessible, usable, and commercially actionable.

Applied Across Multiple Contexts

While I have an extensive background in epidemiology, public health, and ageing research, the methodologies I apply are universal. Complex challenges in tech, public policy, finance, and logistics often share the same underlying statistical structures as human health data.

Health & EpidemiologySurvival analysis, cohort studies, clinical trial analysis, and multimorbidity modelling.
Public Policy & GovernmentDemographic projections, service forecasting, and evaluating policy interventions.
Commercial & TechPredictive user modelling, A/B testing inference, and longitudinal engagement analysis.
Academic ResearchMethodological peer-review, grant application support, and study design validation.

Selected Engagements

Predictive Pipeline for Clinical Outcomes

Engineered a robust survival analysis pipeline to predict longitudinal patient trajectories using decades of sparse, high-dimensional cohort data.

Demographic Forecasting Model

Developed hierarchical models integrating disparate local and national datasets to project future care capacity requirements for governmental policy planning.

Longitudinal Ageing Cohort Design

Led the methodological design for tracking multimorbidity trajectories across a major national ageing cohort, ensuring robust handling of attrition and competing risks.

Technical Workflow Re-Architecture

Transitioned a research team from brittle, manual spreadsheet processes to a fully reproducible, automated R pipeline cutting reporting time by 90%.

Ready to get started?

Book a free initial consultation to discuss your data, your questions, and whether AKALYSIS is the right fit. No obligation, no sales pitch.

Book a Free Discovery Call

Free initial consultation, no obligation.