Predictive Modeling in Outbreak Response: Lessons from COVID-19
How predictive models shaped public health decisions during the pandemic and what we can learn for future outbreaks.
Leveraging expertise in Epidemiology, AI, Cybersecurity, Biostatistics, and Advanced Analytics to drive impactful solutions.
Disease patterns, outbreak investigation, and population health analytics.
Machine learning models for health predictions and clinical decision support.
Translating research into practice with evidence-based frameworks.
Secure, compliant systems for healthcare data collection and analysis.
Statistical methods for clinical trials and health research.
Computational analysis of biological data and genomic sequences.
Ethical AI implementation with robust security protocols.
Global Health Summit
Healthcare Cybersecurity Conference
African Health Innovation Forum
BioData Ethics Symposium
CDC Annual Conference
Available for keynotes, workshops, and panel discussions on epidemiology, health data science, AI ethics, and cybersecurity in healthcare.
Send Speaking InquiryHow predictive models shaped public health decisions during the pandemic and what we can learn for future outbreaks.
Exploring the ethical implications of using AI algorithms to guide clinical decisions and treatment plans.
How healthcare organizations can prepare for the quantum threat to current encryption standards.
Strategies for effectively translating research findings into real-world healthcare settings.
How statistical principles shape effective clinical trials and ensure reliable results.
Best practices for creating clear, informative visualizations of complex health data.
With over 15 years of experience at the intersection of epidemiology, data science, and cybersecurity, I've dedicated my career to transforming complex health data into actionable intelligence that improves public health outcomes and clinical decision-making.
My work spans from leading outbreak investigations and designing predictive models for disease surveillance to implementing secure data systems for clinical trials and developing AI governance frameworks for healthcare organizations.
I'm passionate about bridging the gap between cutting-edge technology and practical implementation in health settings, particularly in resource-limited environments where innovative approaches can have the greatest impact.
Adekeye J, et al. (2024). "AI-driven surveillance systems for early outbreak detection: A comparative analysis." Journal of Public Health Informatics, 12(3), 245-258.
Adekeye J, et al. (2023). "Ethical frameworks for health data sharing during public health emergencies." The Lancet Digital Health, 5(2), e78-e86.
Adekeye J, et al. (2022). "Implementation barriers for digital health solutions in low-resource settings." BMJ Global Health, 7(1), e005147.
"Joshua's expertise in epidemiological modeling transformed our approach to disease surveillance. His ability to translate complex data into actionable insights is unparalleled."