معرفی
Dr. Xuhui Huang is the Hirschfelder Chair in Theoretical Chemistry and Professor of Chemistry at the University of Wisconsin-Madison. He also serves as Director of the Theoretical Chemistry Institute and leads interdisciplinary research bridging computational chemistry, biophysics, and machine learning.
- Education:
- B.S. (2001) - University of Science and Technology of China
- Ph.D. (2006) - Columbia University
- Postdoctoral Fellow (2006-2009) - Stanford University
Research Focus encompasses theoretical chemistry and molecular biophysics, particularly:
- Development of advanced Markov State Models and Generalized Master Equations for biomolecular dynamics
- Elucidating RNA polymerase conformational changes and molecular recognition mechanisms
- Creating novel integral equation theories for solvation and deep-learning-based drug discovery frameworks
- Extracting structural ensembles from heterogeneous cryo-EM datasets
Publication Trends reveal his group's emphasis on merging statistical mechanics with machine learning for studying:
- Protein folding pathways and allosteric regulation
- RNA polymerase dynamics and error-prone transcription
- Self-assembly processes and solvation modeling
- Development of open-source tools like EPIPY and FeatureDock
- Applications in drug-resistant pathogen targeting and unnatural base pair transcription
Scientific Leadership includes:
- NSF grant recipient for polarizable 3DRISM model development
- Organizer of CECAM workshops on biomolecular dynamics
- Educational innovator - developed UW-Madison's 'Machine Learning in Chemistry' course
Collaborative Network spans institutions like UCSF, Stanford, MIT, and HKUST, with group alumni transitioning to Bay Area biotech and top graduate programs.
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