
About
Bin Zhang is an Associate Professor of Chemistry at the Massachusetts Institute of Technology (MIT), leading the Zhang Lab focused on understanding genome structure and function through theoretical and computational approaches. His research integrates statistical mechanics, machine learning, and experimental data to model genome organization and dynamics at multiple scales.
Key areas include predictive modeling of 3D genome structure using sequence information, multiscale modeling of chromatin fiber mechanics, and coupling genome dynamics with gene regulation. His work addresses challenges in non-equilibrium processes, epigenetic regulation, and the interplay between chromatin structure and cellular differentiation.
Supported by funding from NIH, NSF, and private foundations, the lab develops open-source tools like OpenNucleome and OpenABC for structural modeling. Collaborations involve experimental groups to validate computational predictions, emphasizing translational applications in synthetic biology and disease mechanisms.
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