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Adesola Adesioye

@adesolaadesioye

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Flood risk and geospatial specialist blending hydraulic modelling, GIS, and ML projects.

United Kingdom

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What I'm looking for

I’m looking for roles where I can deliver commissioned flood risk work using hydraulic modelling, GIS/remote sensing, and probabilistic/ML methods—while collaborating with stakeholders and writing clear technical reports, with flexibility for office, hybrid, or remote work.

I’m a flood risk and geospatial specialist with a PhD in Environmental Science focused on coastal flood vulnerability, backed by five years of applied flood risk experience for UK local authorities. I deliver commissioned groundwater and surface-water flood projects by combining 1D–2D hydraulic and hydrodynamic modelling (TELEMAC-2D/3D, HEC-RAS) with advanced GIS and remote sensing, then translate results into decision-ready flood hazard, exposure, and vulnerability outputs.

I strengthen technical work with probabilistic and machine learning methods—especially Bayesian Network modelling and scenario/threshold-dynamics approaches—and communicate clearly through technical report writing, peer-reviewed publications, and stakeholder engagement (household surveys and key-informant interviews). I also teach and supervise research across GIS and environmental science, keeping my outputs practical, reproducible, and aligned with client and project deadlines.

Experience

Work history, roles, and key accomplishments

Current

Research Assistant (Flood Risk)

Current

Flood Hazard Research Centre, Middlesex University

Jan 2025 - Present (1 year 6 months)

Deliver commissioned flood risk projects for UK local authority clients, including developing Bayesian Network models for groundwater flood risk assessment. Co-authored the Multi-Coloured Manual case study investigation report and led a conceptual framework report linking flooding to mental health impacts.

Bayesian Networks Groundwater Flood Risk Assessment Threshold Dynamics Stakeholder Engagement

Doctoral Researcher - Coastal Flood

Flood Hazard Research Centre, Middlesex University

Jan 2022 - Jan 2026 (4 years)

Developed a machine learning framework integrating Earth observation, geospatial, census, and household-survey data to quantify coastal flood vulnerability profiles for the Lekki Peninsula, Lagos. Designed and conducted household surveys and key-informant interviews in flood-affected coastal communities, supported by a PTDF scholarship and a UK Government Turing Scheme grant.

Machine Learning Supervised Learning Unsupervised Learning Earth Observation Geospatial analysis Household Surveys Key Informant Interviews Coastal Flood Vulnerability Assessment

Visiting Researcher

African Regional Centre for Space Science & Technology

Jan 2024 - Present (2 years 6 months)

Applied hydrodynamic simulation and scenario modelling to assess flood hazards and critical-infrastructure disruption, integrating satellite and in-situ data.

Scenario Modeling Critical Infrastructure Disruption Assessment

Education

Degrees, certifications, and relevant coursework

Middlesex University

Doctor of Philosophy (PhD), Environmental Science

2022 - 2026

Activities and societies: Funded by a £45,000 PTDF scholarship and a £2,000 UK Government Turing Scheme grant.

PhD in Environmental Science focusing on systemic societal vulnerability to coastal flooding, using the Lekki Peninsula as a case study. Delivered doctoral research with a machine learning framework integrating Earth observation, geospatial, census, and household-survey data.