Teresiah Njeri is a Data Analyst and Project Manager at the Drugs for Neglected Diseases initiative (DNDi), with expertise in data analytics, artificial intelligence, and digital transformation in global health. She works at the intersection of data, technology, and healthcare, supporting the use of analytics and AI to improve decision-making and organizational impact. Teresiah recently completed a certificate in AI in Healthcare from Stanford University and holds a Master’s degree in Data Science and Artificial Intelligence. She has experience working with data platforms, business intelligence, and AI solutions.
AI is transforming drug discovery and clinical development faster than any organization can navigate alone. For NGOs, this isn't just a technological shift — it's a defining moment.
DNDi has spent decades proving that partnership is the most powerful engine for impact: 14 new treatments, 6 deadly diseases defeated, millions of lives saved. Now, AI is supercharging that model. From intelligent compound screening to automated clinical documentation and real-time safety surveillance, the opportunities are immense — and they are accelerating.
But here's the hard truth: no NGO can capture this potential in isolation. The data, the talent, the infrastructure required to deploy AI at scale demand a new level of collaboration. The organizations that will lead the next era of global health innovation are those bold enough to build coalitions, join consortia, and co-create shared platforms with aligned partners.
This session makes the case that AI is not just a tool — it's the catalyst for a more connected, more ambitious NGO ecosystem. The future of equitable drug development won't be built by any single organization. It will be built together.