Lawrence Ifeogome

Lead the development of a community malaria response and decision-support initiative focused on mothers and children under five.

Develop data-driven approaches for community-level malaria prevention, testing, treatment support, referral, and health education.

Engage relevant health stakeholders and community structures in developing the pilot approach.

Explore the use of DHIS2, data analytics, and digital tools to strengthen community health reporting and decision-making.

Support data collection, validation, reporting, and digital governance activities.

Contribute to improved data quality and evidence-based decision-making through structured data management processes.

Collaborate with stakeholders and community-level actors to support accurate and reliable data reporting.

Apply digital tools and data-driven approaches to improve operational efficiency and service delivery.

Support community engagement, digital literacy, technology adoption, and data-driven learning initiatives.

Promote digital inclusion and practical technology adoption within communities.

Engage participants and stakeholders through learning, community-building, and technology-focused activities.

Support initiatives that encourage the practical application of data and emerging technologies.

Drove product vision and strategy for Health Connect AI, an AI-assisted digital health platform addressing healthcare information access in underserved Nigerian communities.

Partnered with technology development partner Marlocks Technology to advance platform build and align technical solutions with product goals.

Defined and refined product requirements, user personas, and functional specifications for symptom navigation and early health risk identification.

Led Proof of Concept (PoC) testing, utilizing synthetic-data validation and structured feedback loops to assess system performance, output accuracy, and usability.

Engaged diverse stakeholders, including health professionals, prospective users, and testers, to gather actionable product feedback.

Embedded responsible AI standards, focusing on data privacy, health information protection, and human oversight.

Utilized feedback and testing observations to uncover product gaps and guide iterative enhancements.

Led St Lawrence Medicine through the African Impact Challenge 2026 Bootcamp, representing the organization throughout the programme.

Guided the organization from programme commencement to successful completion, ensuring consistent participation and engagement across the bootcamp.

Strengthened the organization's capacity in impact-driven innovation, entrepreneurship, digital health, and sustainable development.

Successfully completed the programme and achieved an official Certificate of Completion awarded by the African Impact Initiative in collaboration with the Africa Health Collaborative, The BRIDGE, Mastercard Foundation, and University of Toronto.

Applied practical problem-solving skills to identify product opportunities and overcome development challenges, ensuring successful feature delivery.

Collaborated with cross-functional teams to define product roadmaps, prioritize features, and manage the full product lifecycle.

Contributed to strategic product planning, leveraging market insights to inform decision-making and drive product growth.