A clinical researcher in a cool-toned NHS laboratory, analyzing algorithmic validation models on a dual-monitor setup, natural daylight from a side window.
A clinical researcher in a cool-toned NHS laboratory, analyzing algorithmic validation models on a dual-monitor setup, natural daylight from a side window.
Read our charter
/ Institutional Structure

Algorithmic equity in public health

AI for Global Health CIC is a non-profit Community Interest Company translating clinical research into open-source, ethically validated machine learning tools for under-resourced health systems.

Close-up of a female clinical researcher in a modern Essex hospital setting, smiling warmly, soft natural light.
Close-up of a female clinical researcher in a modern Essex hospital setting, smiling warmly, soft natural light.
Close-up of a male machine learning engineer analyzing neural network weights on a tablet in a bright research office.
Close-up of a male machine learning engineer analyzing neural network weights on a tablet in a bright research office.
Close-up of a female community health strategist holding a tablet in a brightly lit community clinic.
Close-up of a female community health strategist holding a tablet in a brightly lit community clinic.
Scientific Leadership

Led by clinical researchers

Our multidisciplinary team bridges the gap between machine learning engineering and frontline clinical practice, ensuring every model is validated for real-world equity.

Dr. Helen Vance

Marcus Thorne

Amina Yusuf

Co-Design Lead. Directing community-led clinical trials and public health partnership integration across East Africa.

Clinical Director. Former NHS consultant specializing in public health integration and algorithmic safety validation.

Lead ML Engineer. Specialist in explainable AI architectures and low-resource deployment frameworks.

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Public Interest

Our Ethical Charter

A community interest company

We operate under a strict governance framework co-designed with NHS administrators and academic partners to guarantee algorithmic equity.

As a registered UK CIC, we are legally bound to lock our assets and reinvest 100% of our surpluses directly into public health initiatives and open-source validation.

1. Open-Source Accessibility: All clinical models are published under permissive licenses. 2. No Venture Commercialization: We prioritize public health utility over venture-backed equity structures. 3. Clinical Validation: Every tool undergoes peer-reviewed validation before deployment.