Gaudenz Danuser

Gaudenz Danuser  will be Co-Director and Head of Computational Biology at IHB effective August 2025. 

As a freshly launched scientific core of IHB, it will be built up from scratch to create tailored computational biology capabilities that will help to drive breakthrough discoveries in human biology and translate them into industry applications. In addition, he will lead the newly founded research group, Organoid Systems Biology, at IHB. This group will establish a computational and experimental framework to study causal interactions between transcriptional, molecular, metabolic, and morphological regulation of single cell function during organoid development and therapy response. 

Gaudenz is a distinguished academic leader renowned for his seminal contributions to biomedical informatics, AI, and computer vision, particularly in the field of cancer cell biology. In his previous position, he held the Patrick E. Haggerty Distinguished Chair in Basic Biomedical Science and was the inaugural Chair of the Lyda Hill Department of Bioinformatics at UT Southwestern Medical Center, where he also served as the Director of the Cecil H. and Ida Green Center for Systems Biology. In these roles Gaudenz led large-scale interdisciplinary research programs that integrated clinical, experimental and computational approaches at one of America’s premier academic medical centers. Prior to his appointment in Texas, Gaudenz held faculty positions at ETH Zurich, The Scripps Research Institute and Harvard Medical School.

Gaudenz’s work often results in substantial institutional and scientific advancements, significantly contributing to  the understanding of cellular dynamics and mechanics. His extensive work is published in renowned journals like Nature, Cell and Science, and contributions to the development of innovative imaging systems and data analysis methods.  His scientific work has been recognized by prestigious honors as a Fellow of the American Society of Cell Biology and American Institute for Medical and Biological Engineering.