Introduction

Quantitative Biology is an interdisciplinary field that applies mathematical, statistical, and computational techniques to understand and model biological systems. By integrating data analysis, theoretical modeling, and experimental biology, it aims to uncover the quantitative principles governing processes such as gene regulation, cellular dynamics, and ecological interactions. This approach enhances our ability to predict biological behavior and design experiments, contributing to advances in areas like systems biology, synthetic biology, and personalized medicine.

Editorial Board

Editors-in-Chief
Chao Tang — Peking University, China
Michael Q. Zhang — University of Texas at Dallas, USA; Tsinghua University, China

Executive Editor-in-Chief
Xuegong Zhang — Tsinghua University, China

Assistant Editors-in-Chief
Chen Song — Peking University, China
Zhen Xie — Tsinghua University, China

Aims & Scope

• Systems Biology
• Computational Biology & Bioinformatics
• Mathematical Biology
• Biophysics
• Synthetic Biology
• Single-Cell and Multiscale Modeling
• Artificial Intelligence & Machine Learning in Biology
• Biomedical Modeling & Drug Discovery