Turning Data into Actionable Intelligence.

Leveraging expertise in Epidemiology, AI, Cybersecurity, Biostatistics, and Advanced Analytics to drive impactful solutions.

Epidemiology

Areas of Expertise

Epidemiology

Disease patterns, outbreak investigation, and population health analytics.

Data Science & AI

Machine learning models for health predictions and clinical decision support.

Implementation Science

Translating research into practice with evidence-based frameworks.

Clinical Data Management

Secure, compliant systems for healthcare data collection and analysis.

Biostatistics

Statistical methods for clinical trials and health research.

Bioinformatics

Computational analysis of biological data and genomic sequences.

Cybersecurity & AI Governance

Ethical AI implementation with robust security protocols.

Resources Hub

Speaking & Teaching

Keynote

The Future of AI in Epidemiology

Global Health Summit

March 2025
Geneva, Switzerland
Panel

Data Security in Clinical Trials

Healthcare Cybersecurity Conference

November 2024
Boston, MA
Workshop

Implementing AI in Resource-Limited Settings

African Health Innovation Forum

September 2024
Nairobi, Kenya
Lecture

Ethical Considerations in Health Data Science

BioData Ethics Symposium

July 2024
Virtual
Keynote

Outbreak Analytics: From Data to Decision

CDC Annual Conference

May 2024
Atlanta, GA

Invite Joshua to Speak

Available for keynotes, workshops, and panel discussions on epidemiology, health data science, AI ethics, and cybersecurity in healthcare.

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About & CV

About Joshua

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.

Experience Highlights

  • 2022-Present
    Independent Consultant
    Epidemiology, Data Science & AI Governance
  • 2018-2022
    Lead Data Scientist
    Global Health Initiative, Stanford University
  • 2015-2018
    Epidemiologist
    Centers for Disease Control and Prevention (CDC)
  • 2012-2015
    Research Fellow
    London School of Hygiene & Tropical Medicine

Education

  • 2012
    PhD in Epidemiology
    Harvard T.H. Chan School of Public Health
  • 2008
    MSc in Biostatistics
    University of Washington
  • 2006
    BSc in Computer Science
    Massachusetts Institute of Technology

Certifications & Credentials

Certified in Public Health (CPH)National Board of Public Health Examiners
AWS Certified Machine Learning – SpecialtyAmazon Web Services
Certified Information Systems Security Professional (CISSP)ISC²
Google Professional Data EngineerGoogle Cloud

Selected Publications

  • 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.

Epidemiology
Data Science
AI in Healthcare
R Programming
Python
Cybersecurity

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What Clients Say

"Joshua's expertise in epidemiological modeling transformed our approach to disease surveillance. His ability to translate complex data into actionable insights is unparalleled."
Dr. Sarah Johnson
Director of Research, Global Health Institute