Qiangfeng ZHANG

Qiangfeng ZHANG is an Associate Professor in the School of Life Sciences at Tsinghua University. His research focuses on interdisciplinary work at the intersection of artificial intelligence and life sciences, particularly in structural biology, genomics, RNA biology, and related fields. His laboratory develops technologies and algorithms for RNA structure determination, single-cell genomic sequencing, and protein structure modeling based on cryo-electron microscopy. He has published extensively in top-tier journals, including Nature Genetics, Nature Communications, and Cell. His work explores the application of AI in biomedical data analysis and introduces new research paradigms for life science research.

Qiangfeng Cliff Zhang is a researcher at Tsinghua University with expertise in AI Biology, Structural biology, RNA biology, and Genomics. His work focuses on understanding RNA regulatory mechanisms, RNA secondary structure, and the interactions between RNA and proteins. Zhang's research includes the development of computational methods for predicting protein–protein interactions and analyzing RNA structures in living cells. His studies also explore the role of noncoding RNAs, long noncoding RNAs (lncRNAs), and RNA-binding proteins in cellular processes and disease. Zhang's contributions span structural biology, genomics, and bioinformatics, with an emphasis on RNA dynamics and functional genomics.