Research Interests
- Machine Learning
- Computational Biology
- Computer Vision
Biography
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.
Bo 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.
Bo’s primary research areas are machine learning, computational biology, and computer vision. Through his long-term research goals, Bo 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 a Vector Faculty Member, Bo will hold the role of Lead Artificial Intelligence Scientist at the Peter Munk Cardiac Centre at the University Health Network (UHN) and the Techna Institute. Bo’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. Bo is also a faculty of medicine at University of Toronto.
