The Quantitative Biology Institute at Yale (QBio) serves as the University’s central hub for research and education at the intersection of biology, physics, mathematics, engineering, and computer science. QBio seeks to understand how biological systems solve problems and how the structure, organization, and behavior of living systems emerge from such problem-solving. By decoding the problem-solving algorithms shaped by evolution, QBio aims to reveal the logic of life and train the next generation of interdisciplinary scientists.
Explore the people and the research highlights of QBio faculty members:
News
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Behold the neuron, a complicated cell with a simple mission
In a new Nature Physics article, Christopher Lynn’s group probes the behaviors of individual neurons.
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Solving one of biology's most stubborn challenges
María Rodríguez Martínez is using AI tools to detect misfolding proteins behind neurological disease and diabetes.
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QBio faculty awarded Roberts Innovation Fund Award for Next-Generation Immune Cell Therapies
The Miller-Jensen and Kueh Lab’s technology represents a potential breakthrough in the treatment of chronic degenerative diseases.
Events
Funding
The faculty members of the Yale Quantitative Biology Institute gratefully acknowledge the financial support from several funding agencies, including Alfred P. Sloan Foundation, Gordon & Betty Moore Foundation, Human Frontier Science Program, National Science Foundation (NSF), National Institutes of Health (NIH), The Pew Charitable Trust, US Department of Energy, Yale University, etc.
