Bo Wang
Appointment
Canada CIFAR AI Chair
Pan-Canadian AI Strategy
About
Appointed Canada CIFAR AI Chair – 2018
Bo Wang is a Canada CIFAR AI Chair at the Vector Institute and a tenure-track Assistant Professor in the Departments of Computer Science and Laboratory Medicine & Pathobiology at the University of Toronto. He is the inaugural Temerty Professor in AI Research and Education in Medicine and Chief AI scientist at the University Health Network, the largest research hospital in Canada. Wang obtained his PhD from the Department of Computer Science at Stanford University in 2017.
His research focuses on machine learning, computational biology, and computer vision, with a particular emphasis on their applications in biomedicine. His significant contributions to these fields have led to his recognition through numerous esteemed awards, including the Gairdner Early Career Researcher Award and the Canada Research Chair Award.
Awards
- Ontario Early Career Researcher Award, 2024
- Early Career Investigator Award, Gairdner Foundation, 2022
- Early Career Researcher Jump Start Award, Stem Cell Networks, 2022
Relevant Publications
- Cui, H., Wang, C., Maan, H., Pang, K., Luo, F., Duan, N., & Wang, B. (2024). scGPT: Toward building a foundation model for single-cell multi-omics using generative AI. Nature Methods, 1-11.
- Ma, J., He, Y., Li, F., Han, L., You, C., & Wang, B. (2024). Segment anything in medical images. Nature Communications, 15, 654.
- Forster, D. T., Li, S., Yashiroda, Y., Yoshimura, M., Li, Z., Isuhuaylas, L., Itto-Nakama, K., Yamanaka, D., Ohya, Y., Osada, H., Wang, B., Bader, G., & Boone, C. (2022). BIONIC: Biological Network Integration using Convolutions. Nature Methods, 19, 1250-1261.
Wang, B., Zhu, J., Pierson, E., Ramazzotti, D., & Batzoglou, S. (2017). Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning. Nature methods, 14(4), 414-416.
Wang, B., Mezlini, A. M., Demir, F., Fiume, M., Tu, Z., Brudno, M., … & Goldenberg, A. (2014). Similarity network fusion for aggregating data types on a genomic scale. Nature methods, 11(3), 333-337.