معرفی
Chen Zeng is a Professor of Physics at George Washington University, affiliated with the Department of Physics. His research integrates theoretical and computational biophysics with machine learning to address challenges in biomolecular modeling, drug design, and systems biology. He leads the Zeng Lab, focusing on topics such as single-cell metabolomics, autoimmune genomics, and neural circuit decoding in the mouse motor cortex. Zeng holds a BS in Physics from the University of Science and Technology of China (1987) and a PhD in Physics from Cornell University (1994).
His academic contributions span advanced computational methods for RNA-protein interactions, deep learning applications in biomedicine, and phase transition modeling in complex systems. He teaches core courses including Machine Learning I/II, Statistical Mechanics, and Biophysics. Recent research emphasizes trace metabolite detection, biomarker identification in cancer, and neurophysiological studies of social behavior and motor learning.
Zeng’s work bridges physics and biology, with a focus on interdisciplinary solutions for disease mechanisms and technological applications. His lab collaborates on projects ranging from HIV transcription inhibition to chimpanzee tool-use analysis, reflecting his broad scientific curiosity and methodological rigor.
