Senior NatCat engineer · Flood & climate risk
Decision tools across the whole disaster risk cycle
I turn hazard models and Earth-observation data into decisions: where to build, how to finance risk, when to act early, where to respond and what to rebuild first.
Each project below is a working tool built from open data, with code on GitHub and a live demo where possible. Together they follow one region through all five phases of the cycle.
Projects
At least one project per phase, each framed around the decision it supports.
Pluvial flood modelling · Madagascar
Shows planners where heavy rain floods the land directly, before any river overflows, so they can keep new development out of the worst spots and put drainage where it helps most.
SFINCS · HydroMT-SFINCS · Python / xarray · rasterio
Parametric cyclone cover · cat-in-a-circle
Helps a government, lender or insurer design a parametric cyclone trigger for a site, see what it would have paid and price it on several views of risk.
CLIMADA · Python / xarray · React · TypeScript
Parametric earthquake cover · Andes
Helps a government, lender or insurer choose between a magnitude-in-a-circle and a shaking-at-the-site earthquake trigger for a city, see what each would have paid and price both on a 10,000-year event set.
OpenQuake hazardlib · Python / xarray · React · TypeScript
Sovereign risk layering · Madagascar
Helps a ministry of finance decide how much to hold in reserves, how much contingent credit to arrange, which layers to insure and what to leave to post-disaster borrowing, at the lowest economic cost.
Python / NumPy · TypeScript · React · ECharts
Wami–Ruvu ensemble flood forecast
Tells a basin authority, days ahead, which river reaches are likely to exceed flood thresholds and how confident the forecast is.
Wflow.jl · HydroMT · ECMWF ENS · Python / xarray
Rapid post-event flood impact mapping
Identifies, within hours of satellite overpass, where flooding is and how many people and assets are affected, so responders can prioritise.
Python · Sentinel-1 SAR processing · Google Earth Engine or openEO
Recovery investment prioritisation
Ranks reconstruction and resilience investments by impact, vulnerability and cost, so limited budgets go where they do the most good.
Python · multi-criteria analysis
Professional track record
More than six years leading flood and climate risk work for governments, development partners and the private sector.
- National fluvial flood & coastal erosion risk assessment under climate scenarios, Indian Ocean island state
- Parametric flood insurance for vulnerable urban communities, West African megacity
- Flood resilience strategy with weather-station trigger monitoring, three West African communes
- Agroclimatic risk screening & monitoring for agricultural microcredit, Latin America