Mustapha Wasseja Mohammed, PhD, GradStat

Edinburgh Business School, Heriot-Watt University, United Kingdom

Thesis: Essays on Applied Spatial Econometrics in Policy Analysis.

University of Leeds, United Kingdom

Chuka University, Kenya

DECMG / DECRE / GFF, Washington, DC

• Conduct research and policy analysis on macroeconomic frameworks, fiscal policy, and structural and semi-structural modelling for emerging-market and low-income countries.
• Apply DSGE, panel-IV, Bayesian inference, state-space modelling, calibration, and simulation methods in MATLAB (Dynare), R, Python, Stata, and SQL.
• Co-author work on local fiscal multipliers in Kenya with Steven Pennings, using Kenya's 2013 fiscal devolution as a natural experiment.
• Build and deploy R Shiny applications packaging World Bank macroeconomic toolkits, including the Long-Term Growth Model suite and climate heat-stress tools.
• Lead Bayesian spatio-temporal disruption modelling of HMIS/DHIS2 data for fragile-context health systems under GFF FASTR.

With King's College London affiliation, London, United Kingdom

• Led applied econometric analysis of UK socio-economic and equity data using R, Python, SQL, and Stata.
• Built harmonised analytical datasets from administrative and survey data with reproducible ETL pipelines and QA routines.
• Developed indicators and Power BI / R Shiny dashboards for public agencies and partner organisations.

Wolfson Institute of Population Health, London, United Kingdom

• Provided advanced statistical and quantitative support across applied research programmes.
• Applied Bayesian and classical statistical methods to produce standardised indicators and robust comparative results across groups, sites, and time periods.

Northumbria University and Method Valuation Ltd, Newcastle upon Tyne, United Kingdom

• Led an Innovate UK Knowledge Transfer Partnership delivering applied econometric and machine-learning analytics from design through deployment.
• Designed PostgreSQL data warehousing for large geospatial datasets and developed Python machine-learning automated valuation models.
• Used Docker, HPC array jobs, GitHub, and GitLab CI for reproducible analytical workflows and regression testing.

Valuation Office Agency, UK Government, Newcastle upon Tyne, United Kingdom

• Designed automated ETL pipelines with Databricks, Azure Data Factory, and SQL Server for large geocoded administrative datasets.
• Implemented QA checks in R and maintained reproducible spatial analytics codebases under GitLab version control.

GCRF-funded spatial econometrics and sustainable development project

• Conducted spatial econometric and CGE/GAMS analyses of sustainable land-use programmes in the Colombian Amazon.
• Built municipality-level spatial panel datasets integrating environmental, socio-economic, and administrative indicators.

Kenya

• Analysed Kenya Malaria Indicator Survey data to assess malaria prevalence and public-health implications in Kilifi County.

Nairobi, Kenya

• Designed and analysed randomized controlled trials and household surveys on school-feeding and e-learning interventions.

Macroeconomic Statistics Directorate, Nairobi, Kenya

• Compiled government finance statistics under the IMF Government Finance Statistics Manual 2014 framework.
• Consolidated central and county government finance data and coordinated with national and international statistical stakeholders.