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2002 joining uOttawa as Associate Professor 2009 Full Professor Associate Editor for Molecular Biology & Evolution, Frontiers in Immunology, Genome
My expertise is in Bioinformatics and Machine Learning. My current research focuses on multi-omics analysis which provides novel information on the mechanisms of the biological process and cell states in disease development. We develop computational tools for complex and high-dimensional data including genome-wide population data, RNA-seq, and tandem mass spectra. I’m particularly interested in applying deep learning and AI to plants to advance digital agriculture.
Dr. Yingwei Wang is a professor at the University of Prince Edward Island, Canada. His research area includes dew computing, decentralized systems, and bioinformatics. His major contribution is the creation of dew computing.
I obtained a PhD degree in Computer Science and Computational Biology at University of Toronto in 2014. Prior to joining McGill, I was a postdoctoral associate at Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT (2015-2018). My research is focused on developing interpretable probabilistic learning models and deep learning models to model genetic, epigenetic, electronic health record, and single-cell genomic data.
Zhaolei Zhang is a Professor in the Donnelly Centre for Cellular and Biomolecular Research and Department of Molecular Genetics, University of Toronto Faculty of Medicine. He also holds cross-appointment in the Department of Computer Science. His primary research interests are gene regulation, noncoding RNAs, and microRNAs, and their roles in human diseases such as cancer He is also interested in the study of macromolecule and small molecule interactions.