Collaboration with World Resources Institute to develop innovative data analysis methods to integrate forest inventory measurements of tree biomass with remote sensing to better model tropical forest carbon stocks and changes.

• Preparation and submission of Verified Carbon Standard monitoring report for sustainable agroforestry project in the Peruvian Amazon.• Updates and validation of tree growth carbon models, risk buffer calculations, and quantification of soil, deadwood, and litter project carbon removals.• GIS analyses assessing area eligibility of project instances and oversight of GIS data management, mapping, and statistical outputs.

• Extensive analysis and modelling of data from >1,000,000 trees in >1,500 pan-tropical forest inventory plots, exploring abundance and biomass distribution among tree species in tropical Africa, Amazonia, and SE Asia.• Used R, Python, ArcGIS, Bayesian statistics, random effects, parametric and non-parametric modelling, linear regression, spatial processes, and rarefaction, and developed a mathematical model from first principles.• Published first thesis chapter in Nature; second and third chapters in preparation; results presented at conferences and seminars• Co-leadership of 6-week field campaign to re-census forest inventory plots in Lopé National Park, Gabon, collaborating with local colleagues and training park rangers in forest inventory methodologies.• Teaching on modules Scientific Computing, Analytical & Numerical Methods, and Geography in the Field, covering Python and R computer practicals, modelling and statistics.

• Evaluated mangrove restoration project proposals for carbon credits, including analysis of satellite imagery and land use data in GIS, and review of documentation and scientific literature.• Contributed to Plan Vivo -certified Project Design Document for a mangrove restoration project in Honduras, including literature review and modelling of current and future carbon stocks and accruals in biomass and soil.• Developed a tool for detection, mapping, and quantification of regions suitable for mangrove restoration using multi-spectral satellite imagery, reflectance indices.

• Conducted pricing and analysis of catastrophe-exposed accounts for multiple lines of business using RMS modelling software, including real-time loss estimates of incipient catastrophic events.• Utilized SQL databases, Excel and proprietary modelling tools for exposure data preparation and management and model output analysis.• Provided technical advice and support to underwriters for multiple lines of business, communicating risk metrics to key stakeholders.