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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Piecing the puzzle of how proteins fit together
Researchers from Corey O’Hern’s group publish their results on scoring protein-protein interaction models in Physical Review E journal.
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Julien Berro named Biohub Investigator
Berro and three Yale School of Medicine researchers have joined Biohub’s Immune Cell Reprogramming program.
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Understanding the Immune System to Predict, Prevent, and Treat Diseases
Tsang, Nourmohammad, Yuan Kueh, and Chung research labs featured in Yale Medicine Magazine.
Events
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- QBio/PEB Seminar
Keeping score: inverting generative diffusion models for interpretable biophysical inference
Ben Kuznets-Speck, Northwestern University
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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.
