Specialized probabilistic modeling for complex systems, informing critical decisions for environmental and operational risk.
I build custom models of complex stochastic systems, capturing meaningful structure and rare events for grounded decision making.
Join your team as a statistical data science collaborator — contributing review, model development, and documented workflows your team can trust, reuse, and extend.
Even complex models can be clearly explained. I focus on conveying the essential ideas simply, delivering reports that are clear, practical, and backed by detail when needed.
I offer flexible engagement models to best suit your project needs, from targeted advice to integrated project support. Here are common ways I collaborate:
Need a second opinion, specialized statistical guidance on a complex problem, or a rigorous review of an existing model? Engage me for short, focused consultations by the hour or project.
For defined projects requiring custom probabilistic model development, deep data analysis, or in-depth risk assessments, we can scope a clear deliverable-based agreement.
I can join your existing technical team as a specialized statistical data science collaborator, providing ongoing support, enhancing workflows, and building internal capabilities.
My focus is on providing flexible support to:
Firms seeking advanced statistical validation, extreme event analysis, or custom risk models to enhance their project deliverables for clients in mining, infrastructure, and water management.
Internal teams developing new methodologies for risk assessment, climate adaptation, or resource management who require deep statistical insight for complex data.
Any organization needing independent peer review of their existing risk models, statistical analyses, or environmental assessments for scientific soundness and defensibility.
If your project demands advanced statistical insight for environmental or operational risk, I’m keen to hear about it. Reach out, and let’s discuss how I can help.
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