Physics-based modeling of chromosome organization
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Research opportunities and collaborations
Research opportunities for undergraduate students, graduate students, postdoctoral researchers, visiting scholars, and collaborators interested in theoretical biological physics, genome architecture, chromatin dynamics, molecular simulations, and AI.
We welcome students, postdoctoral researchers, visiting scholars, and collaborators interested in theoretical biological physics, genome architecture, chromatin dynamics, molecular simulations, polymer physics, statistical inference, and AI and machine learning.
Prospective undergraduate and graduate students are encouraged to contact the lab with a brief description of their research interests, relevant background, and the types of projects they would like to explore.
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Interested in the lab?
Include a short research-interest summary, relevant background, and the kinds of projects you would like to explore.
Data-driven simulation methods
Analysis of Hi-C and imaging data
Development of open-source tools
Machine-learning approaches for connecting genome structure with biological function