DANIEL ONIMISI
Public Health Decision Intelligence Architect | Global Health Governance & AI/ML Specialist
NG.About
Visionary Founder and Executive Director with deep expertise in Public Health Decision Intelligence Architecture, leveraging AI to advance climate-sensitive disease modeling and global health governance. Proven leader in designing and deploying national and global epidemiology intelligence platforms, integrating 34 years of environmental data to generate policy-ready, intervention-prioritized outputs for diverse stakeholders. Architect of reasoning-based AI research systems, adept at translating complex data into adaptive learning systems for public health security and workforce strengthening.
Work
Malaria Decision Intelligence Platform - Nigeria
|Project Architect and Lead Developer
Nigeria, Nigeria
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Summary
Designed and deployed a live malaria decision-support system integrating extensive climate and biomarker data to produce policy-ready outputs.
Highlights
Designed and deployed a live malaria decision-support system, integrating DHS/MIS biomarker data, intervention coverage, and 34 years of climate and environmental data.
Developed probabilistic and explainable ML models (XGBoost, Random Forest, LightGBM, SHAP) for sub-national intervention prioritization, identifying risk-burden mismatches.
Structured outputs for program managers, donors, and policy actors, transitioning from data visualization to operational decision logic.
Published comprehensive technical documentation and validation artifacts, ensuring reproducibility and facilitating institutional adoption.
Global Field Epidemiology Intelligence Platform
|Founder & Lead Architect
Nigeria, Nigeria
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Summary
Founded and led the architectural design of a cross-disease field epidemiology intelligence system for global preparedness and response prioritization.
Highlights
Built a cross-disease field epidemiology intelligence system, supporting preparedness, surveillance interpretation, and response prioritization across heterogeneous geographies.
Architected a resilient platform designed to function effectively despite data gaps, institutional instability, and shifting stakeholder participation, incorporating explicit governance and access-control logic.
Translated complex surveillance and epidemiological signals into decision-ready outputs for ministries, INGOs, and global health security actors.
Positioned field epidemiology as a comprehensive decision system, integrating governance, access control, and institutional reporting logic.
Femi Samson Institute of Artificial Intelligence & Biomedical Research (FSI-AIBR)
|Founder & Executive Director
Nigeria, Nigeria
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Summary
Founded and directed an AI-driven institute focused on advancing climate-sensitive disease intelligence, workforce governance, and research automation in public health.
Highlights
Led the strategic vision and operational execution for an AI-driven institute, focusing on climate-sensitive disease modeling and global health research automation.
Pioneered the development of decision-intelligence and agentic AI solutions tailored for public health contexts, enhancing predictive capabilities and research efficiency.
Directed initiatives to build epidemiology systems architecture and governance frameworks, specifically addressing fragile and resource-constrained environments.
Independent Researcher—Malaria Modelling & Epidemiology
Nigeria, Nigeria
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Summary
Designed, validated, and implemented an end-to-end national malaria decision intelligence pipeline.
Highlights
Designed and validated a national malaria risk modeling framework using DHS/MIS RDT outcomes (2010, 2015, 2021).
Integrated intervention coverage, household covariates, and climate/environmental drivers (CHIRPS rainfall, NDVI) to enhance model accuracy and predictive power.
Applied explainable ML (SHAP) to ensure transparent interpretation for non-technical stakeholders, fostering trust and adoption.
Served as system architect and sole implementer of an end-to-end malaria decision intelligence pipeline, ensuring robust and scalable operations.
Microsoft Foundry
|Lead Designer and AI Agentic Architect, Research Intelligence & Literature Review Agent
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Summary
Led the design and architectural development of an AI agentic research assistant for structured evidence synthesis.
Highlights
Designed a reasoning-based AI research assistant, significantly enhancing structured evidence synthesis for academic and policy stakeholders.
Developed multi-step academic evaluation logic, incorporating peer-review, citation analysis, and recency filters to improve research quality.
Architected deployment via a React web app and WhatsApp bot, ensuring accessibility in low-bandwidth research environments.
GE Garages Program, GE Nigeria
|Research Fellow—Additive Manufacturing & Medical Devices
Nigeria, Nigeria
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Summary
Trained in additive manufacturing and contributed to artificial heart research, gaining expertise in health systems innovation.
Highlights
Completed intensive training in additive manufacturing, rapid prototyping, and translational health innovation within the GE Garages Program.
Contributed to artificial heart research, gaining practical experience with standards, uncertainty, and feasibility constraints in health systems innovation.
State Specialist Hospital
|Healthcare Data Analyst
Osun State, Osun State, Nigeria
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Summary
Designed decision-support dashboards and conducted geospatial analyses to improve healthcare service utilization and resource allocation.
Highlights
Designed decision-support dashboards to optimize service utilization, patient flow, and health outcomes, improving operational visibility.
Conducted geospatial and operational analyses, leading to improved resource allocation and enhanced service efficiency.
Education
Liverpool John Moores University
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MSc
International Public Health
Obafemi Awolowo University
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Postgraduate Diploma
Environmental Control and Management
University of Ibadan
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BSc
Physiology
Languages
English
Certificates
Fellow, Institute of Management Consultants (FIMC)
Issued By
Institute of Management Consultants
Certified Management Consultant (CMC)
Issued By
Institute of Management Consultants
Certified Management Specialist (CMS)
Skills
Epidemiology & Modelling
Epidemiology Decision Intelligence Architecture, Malaria & Field Epidemiology Systems, Spatial & Climate-Sensitive Disease Modelling, Surveillance Interpretation & Intervention Prioritization, Evidence Synthesis & Policy-Grade Analytics, DHS/MIS analysis, RDT-based modelling, Bayesian & frequentist methods, Uncertainty analysis, Surveillance Modernization.
Spatial & Climate Analytics
Climate-sensitive disease modelling, NDVI & rainfall analytics, Spatial risk mapping, QGIS, ArcGIS, GeoPandas, Google Earth Engine, Climate Change & Health Security.
Decision Science & ML
Intervention prioritization, XGBoost, Random Forest, LightGBM, SHAP, Model validation, AI Agentic Architecture, Explainable AI.
Programming & Data Tools
Python, R (INLA), Reproducible research pipelines, React web app, WhatsApp bot.
Global Health Governance & Strategy
Health Systems Governance & Workforce Frameworks, Multi-Stakeholder Technical Facilitation, WHO/CDC/DHS competency frameworks, Governance models, Policy-grade reports, Technical briefs, Strategic frameworks, Workforce Credentialing.
Research & Innovation
Research Automation, Structured Evidence Synthesis, Explainable Analytics, Multi-channel Deployment, Adaptive Learning Systems, Translational Health Innovation, Rapid Prototyping, Additive Manufacturing.