QED builds technology solutions for basic problems.
Basic problems have been forgotten. But the developing world helps us remember them.
They are problems most fundamental to the human condition.
Environmental security, food security, health security … matters of life and death.
We search for worthwhile problems, and help our partners pursue their solutions.
And we infuse our solutions with “the hacker spirit” — the essence of computer science, math, and art.
QED (https://qed.ai) builds data systems and AI for human health and agriculture, the two fields that we believe to be most relevant to the security of humankind. We are a fully mission-driven technology company. We have regional expertise in development and humanitarian projects in Sub-Saharan Africa, South Asia, and Latin America. Our work aligns with the UN Sustainable Development Goals 2, 3, 6, and 15.
We aim to empower local organizations in developing countries by using technology to build their capacity. We shape and adapt software and hardware to address their needs on the ground, to improve collection and analysis of data to assist in making informed policy decisions. Our forte is our ability to leverage, adjust, and deploy technologies in highly-demanding environments.
Our technologists immerse themselves within organizations for an extended period of time and work with local experts. Together, we develop practical solutions within realistic requirements and infrastructural constraints. Simultaneously we provide training, which is an integral part of our work, to develop local capacity and ensure project sustainability. Our Kenyan entity, QED Africa Limited (2016), provides boots-on-the-ground data collection, data analysis, and technology services in Sub-Saharan Africa. We also have incorporations in the USA and EU, specialized in technology and tool development.
Since QED’s inception in 2012, we have provided mission-critical support to many health and agricultural projects, in 13 countries. We have built data processing pipelines for the surveillance of malaria, child mortality, crop disease, and soil health. We also provide the analytical tools needed by our partners in order for them to be able to execute targeted interventions. Our projects are implemented in collaboration with organizations such as the Centers for Disease Control and Prevention (CDC), the Gates Foundation (BMGF), the International Maize and Wheat Improvement Center (CIMMYT), and the United States Agency for International Development (USAID).
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Dr. William Wu studied EECS at Berkeley, followed by an M.S. in mathematics and Ph.D. in EE at Stanford. Trained both as a researcher and an engineer, he has +12 years of experience in building novel scientific computing solutions for organizations with complex data needs, including bioinformatics research centers, computer vision startups, agricultural cooperatives, and NASA JPL. Today he directs QED’s mission to amplify knowledge and information transparency in developing countries. He is passionate about all things clever and strives to build a culture of practical innovation.
Dr. Jiehua Chen (“JC”) received her B.Sc. in Math and Physics from Tsinghua summa cum laude, followed by an M.S. in Economics and Ph.D. in Statistics at Stanford. She has extensive experience in spatial-temporal statistics, randomized experiment design, and juxtaposing modern machine learning methods with more traditional statistical models. She has been working on development projects since 2008 and is passionate about finding proofs for problems that matter for all people, particularly in agriculture and human health.
