Author

Haizhi Gary Lai

University of Toronto

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

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Approach:deep learning· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Mehrshad SadriaiD· 2 shared Allen A. ZhangiD· 1 shared Gary D. BaderiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Mehrshad SadriaORCID

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2 papers

Recent·Most cited

Deep Lineage: Single-Cell Lineage Tracing and Fate Inference Using Deep Learning

Mehrshad Sadria, Allen A. Zhang, Haizhi Gary Lai, Gary D. Bader

Deep Lineage uses deep learning to analyze time-series single-cell RNA-sequencing with lineage-tracing data to predict cell fate and gene expression profiles more accurately than existing methods.

Cell Systems · Oct 1, 2026Peer-reviewedBioinformatics

LineageSim: A Single-Cell Lineage Simulator with Fate-Aware Gene Expression

Haizhi Gary Lai, Mehrshad Sadria

LineageSim generates single-cell lineage data with fate-aware gene expression to improve cell fate prediction benchmarks.

bioRxiv · Feb 12, 2026 · PreprintBioinformatics