Dr. Cheng Zhang is a translational systems medicine expert whose work bridges cutting‐edge computational methods with practical clinical applications. Currently a Senior Lecturer at King’s College London and Group Leader at Science for Life Laboratory at KTH, his research is dedicated to harnessing systems biology tools—such as genome-scale metabolic models, integrated biological networks, and advanced deep learning techniques—to construct digital representations of human cells and tissues.

Dr. Zhang’s approach is rooted in the conviction that a detailed, systems-level understanding of biological processes can yield transformative insights into complex medical conditions. His innovative research program develops “digital cell” models that simulate intricate cellular functions, enabling precise predictions of disease behavior and therapeutic responses. By integrating multi-omics data and employing state-of-the-art computational strategies, his work provides a robust framework for identifying novel drug targets and personalizing treatment strategies. Over his career, Dr. Zhang has built a formidable portfolio of research, reflected in over 100 publications with substantial citation impact. His work not only advances academic understanding but also translates into tangible health innovations, as evidenced by his contributions to drug repositioning and digital immunology.

A committed educator and leader, he has designed and delivered courses that inspire the next generation of computational biologists, and he actively fosters international collaborations to push the boundaries of translational research. Dr. Zhang’s pioneering vision in creating digital human models underscores his commitment to solving critical medical challenges, ultimately aiming to improve patient outcomes through innovative, data-driven solutions.