Current Roles

Senior Data Scientist & SOSCHI Technical Lead

Office for National Statistics — May 2024 to present

  • Technical lead for SOSCHI (Standards for Official Statistics on Climate-Health Interactions), a £5m Wellcome Trust-funded programme hosted on the UN Global Platform.
  • Lead the platform engineering: service architecture, API integration, deployment pipelines, monitoring, maintenance, and the institutional tooling that makes the SOSCHI methods operational across national statistical offices.
  • Lead maintainer, platform developer, and corresponding author of the climatehealth R package — published on CRAN, implementing six climate-health indicators using DLNM, quasi-Poisson regression, case-crossover analysis, Bayesian spatio-temporal models (INLA), and multivariate meta-analysis.
  • In March 2026, the SOSCHI methods were endorsed by the United Nations Statistical Commission at its 57th session in New York for inclusion in the Global Set of Environment and Climate Change Statistics.
  • Lead international collaboration with partners across Ghana, Rwanda, and UN agencies. Manage project-wide GitHub workspace, RAP standards, and engineering best practices.

Affiliate Researcher

James Watt School of Engineering, University of Glasgow — June 2023 to present

  • Lead engineering work on the Albyn Housing smart-home testbed in the Scottish Highlands (social housing partnership).
  • Completed a multi-sensor mould-risk forecasting system for social housing — 24-hour AUC-ROC 0.851–0.957, cross-home transfer up to 0.968. Forecasts risk 6–48 hours ahead to enable preventative ventilation and heating decisions.
  • Completed a privacy-preserving welfare monitoring system for lone elderly residents — F1 scores 0.848/0.814, detection rates 87–100%, sensing cost ~£200–300 per flat. Avoids cameras, microphones, and wearables.
  • Active research pipeline spanning IoUT, federated anomaly detection, semantic telemetry, smart housing, and ambient intelligence.

Co-Founder & Engineering Lead

Voith AI Ltd — December 2024 to present (part-time)

  • Co-founded an AI engineering company building low-bandwidth, offline clinical systems for constrained healthcare environments in Africa.
  • Lead engineering of EchoLingo Health, a clinical AI assistant supporting low-resource African languages (Swahili, Amharic, Hausa, Yoruba, Igbo) with edge AI deployment, model compression, lightweight messaging (MQTT/WebRTC), and FHIR-compatible APIs.

IoT Lead (2021–) & Data Science Lead (2024–)

Computer Science Academy Africa

  • Designed and delivered applied IoT, embedded systems, and data science curricula across 14 African countries.
  • Trained more than 200 learners in Python, ESP32/Arduino, Raspberry Pi systems, and analytical methods.
  • Authored the Python for IoT course (2022) and the Python for Data Science & Analysis course (2024/2025).

Previous Roles

Data Scientist, Global Supply Chains Intelligence Programme (GSCIP)

Office for National Statistics — January 2023 to May 2024

  • Applied graph and network engineering methods to model supply-chain dependencies and vulnerabilities for UK government resilience analysis under HM Treasury funding.
  • Built analytical pipelines that informed cross-government decision-making during periods of supply disruption and global volatility.
  • Extended communications and network-science methods into operational public-sector capability.

PhD Researcher

James Watt School of Engineering, University of Glasgow — 2019 to 2023

  • Doctoral research on cognitive networking for the Internet of Underwater Things, supervised by Prof Muhammad Ali Imran.
  • Developed DEKCS, a clustering and routing protocol that prolonged underwater sensor-network lifetime by more than 70%.
  • Developed reinforcement-learning methods for simultaneous wireless information and power transfer (SWIPT) in underwater networks.