معرفی
Zheng Wang is an Associate Professor in the College of Arts and Sciences at the University of Miami, with a secondary faculty role in Biology. His research focuses on computational genomics, epigenetics, and structural biology, particularly leveraging machine learning to develop tools for analyzing chromatin interactions, protein structures, and single-cell data. He leads the Z. WANG LAB, which develops innovative bioinformatics methods such as scHiGex, PANDA-3D, and HiC4D to advance understanding of genome architecture and function.
Key research interests include chromatin conformation dynamics, protein function prediction, and applying deep learning to solve challenges in genomics and proteomics. His work bridges computational methods with experimental insights, contributing to cancer biology, neuroregeneration, and epigenetic mechanisms.
Zheng Wang has published over 50 peer-reviewed articles, including high-impact work in Nature Neuroscience, Proceedings of the National Academy of Sciences, and NAR Genomics and Bioinformatics. His lab collaborates widely, addressing topics like axonal regeneration, histone methylation in cancer, and the functional implications of TADs. No formal awards are listed in the provided materials, but his research has significant community impact through tool development and open-source software.
Zheng Wang’s grants and collaborations are central to his work, though specific funding details are not detailed here. He actively mentors researchers and students in computational biology, driving innovation at the intersection of biology and artificial intelligence.
