DANIEL ONIMISI

Public Health Decision Intelligence Architect | FIMC | CMC | CMS

Nigeria, NG.

Overview

About

Work

Education

Awards

Publications

Certificates

Skills

Projects

References

About

Pioneering Public Health Decision Intelligence Architect and Founder & Executive Director of FSI-AIBR, Daniel Onimisi has architected Africa's first nationally-deployed, peer-documented AI-driven malaria intelligence system, impacting all 774 Nigerian LGAs. With advanced train...

Work

Jan 2026 ·

Blacks in Technology Foundation

Global Programs & Partnerships Committee Member

Jan 2025 ·

Femi Samson Institute of AI & Biomedical Research (FSI-AIBR)

Founder & Executive Director

Education

International Public Health

Liverpool John Moores University

Environmental Control & Management

Obafemi Awolowo University

Awards

WHO MSI-TAG Acknowledgment

Received acknowledgment for the Nigeria Malaria Digital Twin, with a full membership application submitted to the WHO MSI-TAG.

Jan 2026·

Omniverse Research Exchange Showcase 2026

Recognized in the Deep Tech & Frontier Technologies category at the Omniverse Research Exchange Showcase in Lagos.

Publications

Jan 2026·

Building a Malaria Intelligence System for Real-Time Prediction and Data-Driven Intervention Planning

Journal of Medical Internet Research (JMIR)

Dec 2025·

Nigeria Malaria Decision Intelligence Platform: A 774-LGA National Risk Modelling Framework

Preprint

Certificates

Fellow, Institute of Management Consultants (FIMC)

Institute of Management Consultants

Certified Management Consultant (CMC)

Institute of Management Consultants

Skills

Dashboard & Data Intelligence

Power BI, DAX, Power Query, ArcGIS Maps, KPI Design, Conditional Formatting, Multi-page Institutional Dashboards, Tableau, Streamlit, DHIS2, KoboCollect, SurveyCTO, ODK, Results Delivery & Dashboard Management, Institutional Data Translation

AI, ML & Decision Systems

Supervised Learning, Unsupervised Learning, Predictive AI, Prescriptive AI, Multimodal AI, LLMs, Explainable AI (SHAP), Reasoning-based Agents, XGBoost, Random Forest, LightGBM, Causal Inference, Optimal Policy Trees, Agentic AI Systems, AI-Driven Public Health Systems, Advanced AI & Decision Science

Projects

Jan 2025 ·

Nigeria Malaria Digital Twin

Africa's first nationally-deployed, peer-documented malaria decision intelligence system covering all 774 Local Government Areas of Nigeria, built independently from first principles.

Jan 2025 ·

Global Field Epidemiology Intelligence Platform (EPIDEXA)

A multi-country field epidemiology tracking and program performance visibility platform designed for preparedness, surveillance interpretation, and response prioritization across heterogeneous geographies.

References

Blacks in Technology Foundation

Global Programs & Partnerships Committee Member

Remote, Global, XX

Jan 2026

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Present

Contributes to the design, coordination, and execution of global programs and strategic partnership initiatives, emphasizing AI capacity-building and technology equity across underrepresented communities.

Contributed to the design and execution of global programs, fostering AI capacity-building and digital skills access for underrepresented communities globally.

Supported collaboration between international stakeholders, learning partners, and program teams to strengthen technology capacity-building, aligning with FSI-AIBR's mission of AI knowledge transfer across Africa.

Femi Samson Institute of AI & Biomedical Research (FSI-AIBR)

Founder & Executive Director

Lagos, Nigeria, Nigeria

Jan 2025

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Present

Founded and directed a leading institute advancing climate-sensitive disease modeling and epidemiology systems, integrating AI and biomedical research for global health contexts.

Designed institutional frameworks, integrating machine learning, multimodal AI, and agentic reasoning systems into public health governance and epidemiology infrastructure.

Led the development of adaptive decision intelligence systems, including the Nigeria Malaria Digital Twin and EPIDEXA platforms, modernizing surveillance and intervention prioritization.

Architected and delivered an 8-page Power BI decision intelligence dashboard, translating Python/ML outputs into institutional-grade program management infrastructure.

Operates the SPARTAN Applied Intelligence Fellowship and EPIDEXA health intelligence platform alongside research and publishing functions.

Achieved profiling by the Journal of Medical Internet Research (JMIR), positioning FSI-AIBR alongside established African-led disease surveillance systems like SORMAS and mTrac.

Independent Researcher

Malaria Modelling & Epidemiology

Nigeria, Nigeria, Nigeria

Jan 2021

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Present

Designed and validated a national malaria risk modeling framework for all 774 Nigerian LGAs, integrating diverse data for transparent interpretation and real-world generalizability.

Designed and validated a national malaria risk modeling framework, utilizing DHS/MIS RDT outcomes across three survey waves (2010, 2015, 2021) to cover all 774 Nigerian LGAs.

Integrated intervention coverage, household covariates, and climate/environmental drivers (CHIRPS rainfall, NDVI) with Random Forest modeling and SHAP interpretability analysis.

Conducted time-split, cross-year validation to assess real-world generalizability, applying SHAP for transparent interpretation for non-technical stakeholders.

Solely implemented an end-to-end malaria decision intelligence pipeline, from raw data ingestion through predictive modeling, Power BI institutional translation, and peer-reviewed publication.

GE Garages Program, GE Nigeria

Research Fellow - Additive Manufacturing & Medical Devices

Nigeria, Nigeria, Nigeria

Jan 2019

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Dec 2021

Trained in additive manufacturing and rapid prototyping, contributing to artificial heart research and translational health innovation.

Trained extensively in additive manufacturing, rapid prototyping, and translational health innovation methodologies.

Contributed to artificial heart research, applying advanced manufacturing techniques to medical device development.

State Specialist Hospital

Healthcare Data Analyst

Osun State, Nigeria, Nigeria

Jan 2015

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Dec 2019

Analyzed healthcare data to design decision-support dashboards and improve resource allocation for a public hospital in a resource-constrained environment.

Designed decision-support dashboards for service utilization, patient flow, and health outcomes, enhancing operational efficiency in a resource-constrained public hospital environment.

Conducted geospatial and operational analyses, leading to improved resource allocation and service delivery efficiency for healthcare services.

Liverpool John Moores University

United Kingdom, United Kingdom, United Kingdom of Great Britain and Northern Ireland

Obafemi Awolowo University

Nigeria, Nigeria, Nigeria

University of Ibadan

Nigeria, Nigeria, Nigeria

Building a Malaria Intelligence System for Real-Time Prediction and Data-Driven Intervention Planning

Jan 2026

Journal of Medical Internet Research (JMIR)

Featured article profiling the Nigeria Malaria Digital Twin as a model for shifting malaria control from reactive to predictive public health, highlighting its planned expansion to the Democratic Republic of Congo.

Nigeria Malaria Decision Intelligence Platform: A 774-LGA National Risk Modelling Framework

Dec 2025

Preprint

A national risk modelling framework for all 774 Nigerian Local Government Areas, leveraging 34 years of CHIRPS rainfall data, NDVI satellite imagery, and pooled DHS/MIS biomarker surveys.

Fellow, Institute of Management Consultants (FIMC)

Institute of Management Consultants

Certified Management Consultant (CMC)

Institute of Management Consultants

Certified Management Specialist (CMS)

Institute of Management Consultants

Dashboard & Data Intelligence

AI, ML & Decision Systems

Epidemiology & Modelling

DHS/MIS Analysis, RDT-based Malaria Modelling, Bayesian Methods, Frequentist Methods, Survival Analysis, Uncertainty Quantification, Surveillance Interpretation, Epidemiology Decision Intelligence Architecture, Malaria & Field Epidemiology Systems, Surveillance Interpretation & Intervention Prioritisation, Spatial & Climate-Sensitive Disease Modelling, Evidence Synthesis & Policy-Grade Analytics.

Spatial & Climate Analytics

Climate-sensitive Disease Modelling, NDVI & Rainfall Analytics, Spatial Risk Mapping, QGIS, ArcGIS, GeoPandas, Google Earth Engine.

Tools & Programming

Python, R (INLA), React-based Deployment, Reproducible Research Pipelines, Streamlit, Microsoft Power BI, Power Query, DAX, WhatsApp Deployment.

Public Health & Governance

Health Systems Governance & MEL Frameworks, Multi-Stakeholder Technical Facilitation, Global Health Governance, Field Epidemiology Systems, Surveillance Modernisation, Climate Change & Health Security, AI for Global Health, Decision Intelligence Systems, Results Delivery & Dashboard Management.

Nigeria Malaria Digital Twin

Jan 2025

→

Present

Africa's first nationally-deployed, peer-documented malaria decision intelligence system covering all 774 Local Government Areas of Nigeria, built independently from first principles.

Global Field Epidemiology Intelligence Platform (EPIDEXA)

Jan 2025

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Present

Agentic AI Research Intelligence System

Jan 2025

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Present

Deployed via React web app and WhatsApp bot for low-bandwidth research environments across Sub-Saharan Africa, providing a reasoning-based AI research assistant.