Our Grand Challenge is to develop a deeper understanding of how molecular, cellular and tissue structure and organization relate to normal and diseased tissue function. To address this challenge, we will make use of vast amounts of data from multi-modal, multi-scale biomedical imaging, which we will collect/access, manage, and interpret holistically through advanced artificial intelligence. This understanding will help alleviate pressures on healthcare systems by enabling effective personalized medicine.

Campus

Vancouver

Affiliated UBC Faculty & Postdocs

Name Role Research Interests
Schaffer, Paul Faculty (G+PS eligible/member) Positron Emission Tomography Imaging
Schmidt, Mark Faculty (G+PS eligible/member) Machine learning; Numerical Optimizaiton; Probabilistic Graphical Models; Causality
Sossi, Vesna Faculty (G+PS eligible/member) Medical Imaging, Brain imaging
Talhouk, Aline Faculty (G+PS eligible/member) Human reproduction and development sciences; Computer Science and Statistics; Epidemiology; Bioinformatics; Cancer of the Reproductive System; diagnostic models; Digital health; Machine Learning; personalized medicine; prevention; Privacy
Tang, Shuo Faculty (G+PS eligible/member) Medical devices; Optical instrumentation (including sensing and metrology); biophotonics; Biomedical imaging
Tsang, Teresa Faculty (G+PS eligible/member) Epidemiology and pathophysiology of atrial fibrillation; application of advanced echocardiographic techniques for prediction of pre-clinical cardiovascular disease
Wang, Zhen Faculty (G+PS eligible/member) Signal processing theory and applications, bioinformatics
Zandstra, Peter Faculty (G+PS eligible/member) Medical biotechnology; Medical and biomedical engineering; Stem cell bioengineering; Bioengineering; Synthetic biology; Biomedical Engineering; Immuno-engineering; Biotechnology; Computational Biology; Computational modeling; Gene/Cell Therapy Systems; genomics; Immunology; personalized medicine; Regenerative medicine