Biography
I did my Master's and Ph.D. in Computer Science from Carleton University (Ottawa, Canada). I joined the School of Computer Science at the University of Windsor in 2002 as an Assistant Professor, and was promoted to Full Professor in 2013.
My core research interests focus on designing foundational shallow and deep machine learning frameworks, including graph-based learning and associative memory models. My team use these frameworks to analyze high-throughput transcriptomics and multi-omics data, within single-cell, molecular interactions, cell-cell communication, and biomedical imaging.
I am a Senior Member of the IEEE, and former Associate Editor of IEEE/ACM Transactions on Computational Biology and Bioinformatics and Network Modeling Analysis in Health Informatics and Bioinformatics. I also lead the Machine Learning in Bioinformatics Lab at the University of Windsor.
A recent version of my complete academic CV can be found here.
Recent Updates
- 2026 Co-authored new survey insights on contrastive learning methods in molecular representation featured in Briefings in Bioinformatics.
- 2025 Published state-of-the-art developments in ligand-receptor heterophily-aware hypergraph neural network architectures at IEEE BIBM.
- 2024 Introduced SEGCECO for subgraph embedding of gene expression metrics in cell-to-cell communication networks.
- 2023 Addressed cell type annotation model optimization and general-purpose feature gene selections inside the journal Genes.