This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Toronto directory, so their courses may be missing. Find their university profile.
Research
Latest papers
Differentially Methylated Regions in Human Rhombic Lip Compartments Are Enriched in Putative Active Enhancers, Human Accelerated Regions, and Medulloblastoma Copy Number Aberrations.
Cerebellum (London, England) · 2026
Integration of human and mouse single-cell transcriptomes of the developing cerebellum nominates cells-of-origin for group 3 and 4 medulloblastoma.
BMC cancer · 2026 · senior author
Epigenomic landscape of the developing human rhombic lip reveals gene regulatory network and non-coding loci of developmental, evolutionary, and disease relevance.
bioRxiv : the preprint server for biology · 2025
Latest funding
- $10,000
Leveraging advanced bioinformatics training to amplify cancer research impact
CIHR · 2024 · Co-investigator
- $93,000
Networks for tissue-specific phenotype prediction from genomes
NSERC · 2022 · Principal investigator
- $12,500
Networks for tissue-specific phenotype prediction from genomes
NSERC · 2022 · Principal investigator
17 publications.
Differentially Methylated Regions in Human Rhombic Lip Compartments Are Enriched in Putative Active Enhancers, Human Accelerated Regions, and Medulloblastoma Copy Number Aberrations.
Sun X, Menon S, Wambo P, Lungu I, Birth Defects Research Laboratory, Aldinger KA, Pai S
Integration of human and mouse single-cell transcriptomes of the developing cerebellum nominates cells-of-origin for group 3 and 4 medulloblastoma.
Cheong I, Lau L, Pai S
Epigenomic landscape of the developing human rhombic lip reveals gene regulatory network and non-coding loci of developmental, evolutionary, and disease relevance.
Sun X, Menon S, Wambo P, Lungu I, Birth Defects Research Laboratory, Aldinger KA, Pai S
Metformin reduces the competitive advantage of Dnmt3aR878H HSPCs.
Hosseini M, Voisin V, Chegini A, Varesi A, Cathelin S, Ayyathan DM, Liu ACH, Yang Y, Wang V, Maher A, Grignano E, Reisz JA, D'Alessandro A, Young K, Wu Y, Fiumara M, Ferrari S, Naldini L, Gaiti F, Pai S, Egan G, Schimmer AD, Bader GD, Dick JE, Xie SZ, Trowbridge JJ, Chan SM
Metformin reduces the clonal fitness of Dnmt3a R878H hematopoietic stem and progenitor cells by reversing their aberrant metabolic and epigenetic state.
Hosseini M, Voisin V, Chegini A, Varesi A, Cathelin S, Ayyathan DM, Liu ACH, Yang Y, Wang V, Maher A, Grignano E, Reisz JA, D'Alessandro A, Young K, Wu Y, Fiumara M, Ferrari S, Naldini L, Gaiti F, Pai S, Schimmer AD, Bader GD, Dick JE, Xie SZ, Trowbridge JJ, Chan SM
Fourteen quick tips for crowdsourcing geographically linked data for public health advocacy
Multi-scale systems genomics analysis predicts pathways, cell types, and drug targets involved in normative variation in peri-adolescent human cognition.
Pai S, Hui S, Weber P, Narayan S, Whitley O, Li P, Labrie V, Baumbach J, Wheeler AL, Bader GD
Genotyping SARS-CoV-2 Variants Using Ratiometric Nucleic Acid Barcode Panels.
Kozlowski HN, Malekjahani A, Li VYC, Lekuti AA, Perusini S, Bell NG, Voisin V, Pouyabahar D, Pai S, Bader GD, Mubareka S, Gubbay JB, Chan WCW
COVID-19 cluster size and transmission rates in schools from crowdsourced case reports.
Tupper P, Pai S, COVID Schools Canada, Colijn C
Network Approaches for Precision Oncology.
Pai S
Leveraging advanced bioinformatics training to amplify cancer research impact
Principal investigators: Hughes, Nia
Keywords: Bioinformatics; Cancer; Clinical Data Integration; Data Management; Genomics; Hands-On Learning; Mock Tumour Board; Precision Oncology; Responsible Data Use And Sharing; Variant Analysis
Networks for tissue-specific phenotype prediction from genomes
Principal investigators: Pai, Shraddha
Keywords: similarity networks; genomics; multi-modal data integration; phenotype prediction; machine learning; gene-gene interaction networks; tissue-specific gene regulation; gene-drug networks; interpretable models
Networks for tissue-specific phenotype prediction from genomes
Principal investigators: Pai, Shraddha
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Caroline Colijn and Paul Tupper: 9 shared papers
- Arturas Petronis and Shraddha Pai: 3 shared papers
- Samira Mubareka and Caroline Colijn: 3 shared papers
- Federico Gaiti and Shraddha Pai: 2 shared papers
- Denise Belsham and Arturas Petronis: 1 shared paper
- Denise Belsham and Rafal Kustra: 1 shared paper
- Denise Belsham and Shraddha Pai: 1 shared paper
- Arturas Petronis and Rafal Kustra: 1 shared paper
- Samira Mubareka and Shraddha Pai: 1 shared paper
- Caroline Colijn and Shraddha Pai: 1 shared paper
- Rafal Kustra and Shraddha Pai: 1 shared paper
- Paul Tupper and Shraddha Pai: 1 shared paper
- Adaptive Oncology
- Neurosciences
- Department of Medical Biophysics
- Head Office
- Department of Physiology
- Mathematics
- Biostatistics Division
- Other
Co-authors at University of Toronto, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Arturas Petronis
Neurosciences
3 shared papers, latest 2019
Federico Gaiti
Department of Medical Biophysics
2 shared papers, latest 2025
Denise Belsham
Department of Physiology
1 shared papers, latest 2012
Rafal Kustra
Biostatistics Division
1 shared papers, latest 2012
Paul Tupper
Mathematics
1 shared papers, latest 2022
Caroline Colijn
Head Office
1 shared papers, latest 2022
Samira Mubareka
Department of Laboratory Medicine and Pathobiology
1 shared papers, latest 2023
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