Bo Wang, PhD

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Dr. Bo Wang obtained his PhD from the Department of Computer Science at Stanford University in 2017. His PhD work covers statistical methods for solving problems in computational biology with an emphasis on integrative cancer analysis and single-cell analysis.

Dr. Bo Wang has extensive research experiences in many leading organizations such as Sick Kids, Illumina, and Genentech. He regularly publishes at leading machine learning conferences such as the conference for Computer Vision and Pattern Recognition (CVPR) and Neural Information Processing Systems Conference (NeurIPS) and has multiple first-authored papers in world-renowned journals such as Nature Methods and Nature Communications.

Dr. Bo Wang’s primary research areas are machine learning, computational biology, and computer vision. Through his long-term research goals, Dr. Bo Wang aims to develop integrative and interpretable machine learning algorithms that can help clinicians with predictive models and decision support to tailor patients’ care to their unique clinical and genomic traits.

In addition to being appointed as CIFAR AI Chair at the Vector Institute, Dr. Bo Wang is the Chief Artificial Intelligence Scientist at University Health Network (UHN). Dr. Bo Wang’s primary focus in this role will be to build and lead the AI team in developing new machine-learning approaches and integrating them into the care of patients with heart and vascular diseases. Dr. Bo Wang also holds a joint tenure-track position as an Assistant Professor within the Department of Laboratory Medicine and Pathobiology and Computer Science at University of Toronto.

Our lab focuses to develop novel machine learning algorithms to help solve clinical applications. Specifically, we use machine learning to analyze medical images to understand disease progressions, and clinical notes with natural language processing to help analyze patient trajectories, and genomic data (e.g., scRNA-seq) to understand disease mechanisms.


For a list of Dr. Wang's publications, please visit ORCID or Scopus.

Chief AI Scientist, University Health Network
Assistant Professor, University of Toronto
CIFAR AI Chair, Vector Institute