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OUR APPROACH

Turning data into insight and action

Data science is a critical enabler of our mission to translate evidence into action. We use advanced analytical methods to extract insights from complex health data, predict trends, and inform decision-making at every level — from community health to national policy.

Our data science team combines expertise in statistics, machine learning, health informatics, and implementation science to address real-world health challenges with rigor and impact.

Data is not just numbers — it's a reflection of people, communities, and health systems. We use it responsibly to drive better health outcomes.

AI & ML
Analytics
Health Data
Visualization
Predictive
Ethics & Privacy
CAPABILITIES

Areas of data science

Our data science expertise spans multiple domains, all focused on improving health and well-being.

Machine Learning

Developing predictive models for disease risk, health outcomes, and resource allocation using supervised and unsupervised learning.

Predictive Analytics

Using historical and real-time data to forecast health trends, outbreak risks, and service utilization patterns.

Health Informatics

Designing and implementing data systems that capture, integrate, and analyze health information for decision support.

Data Visualization

Creating intuitive dashboards and visualizations that make complex data accessible to policymakers, practitioners, and communities.

Digital Health Analytics

Analyzing data from digital health tools, mobile applications, and electronic health records to improve service delivery.

Data Ethics & Privacy

Ensuring responsible data practices, protecting privacy, and maintaining the highest ethical standards in all data work.

PROJECTS

Data science projects

Current initiatives that apply data science to improve health outcomes across Africa.

Machine Learning

Predicting Maternal Health Outcomes

Developing a machine learning model that predicts maternal complications using antenatal care data, enabling early risk identification and referral.

Planning
Predictive Analytics

Disease Outbreak Forecasting

Using epidemiological and environmental data to forecast outbreaks of malaria, cholera, and other communicable diseases at the sub-national level.

Planning
Health Informatics

Integrated Health Data Platform

Designing a unified health data platform that integrates community health, facility-based, and surveillance data for real-time decision-making.

Planning
Analytics

Community Health Worker Performance Analytics

Analyzing CHW performance data to identify patterns, predict drop-out risk, and inform supervision and support strategies.

Planning
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TECHNOLOGY

Tools & capabilities

Our data science toolkit includes cutting-edge technologies and methodologies for advanced health analytics.

Python

Primary language for ML, analytics, and data pipelines

SQL

Data management and querying

R

Statistical analysis and visualization

Cloud Platforms

Scalable infrastructure for large datasets

TensorFlow / PyTorch

Deep learning and neural networks

Tableau / Power BI

Interactive dashboards and visualizations

Jupyter / RStudio

Collaborative development environments

Data Privacy

Anonymization and secure data handling

COLLABORATE

Partner with UWRA on data science

Join us in using data to transform health in Africa. We welcome collaborations with researchers, technologists, health systems, and communities.

Explore Partnerships Contact Our Team