Chen Zeng
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Chen Zeng
Professor of Physics
Core
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Chen Zeng's expertise includes Theoretical and Computational Biophysics, Biomolecule Modeling and Drug Design, and Deep Learning Algorithm and Application.
- Theoretical and Computational Biophysics
- Biomolecule Modeling and Drug Design
- Deep Learning Algorithm and Application
Conduct basic research in biophysics on topics ranging from big-data-driven biomolecular modeling and early prediction on the onset of complex diseases using computational simulations and deep learning techniques. His current research projects include trace metabolite detection in single-cell metabolomics, biomarker identification in autoimmune and cancer genomics, and decoding of neuronal circuits in mouse motor cortex.
Machine Learning I and II, Statistical Mechanics, Biophysics
BS in Physics, University of Science and Technology of China, August1987
PhD in Physics, Cornell University, January1994