Faculty profile
Amin Emad
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a McGill University directory, so their courses may be missing. Find their university profile.
Research
Latest papers
Refining sequence-to-expression modelling with chromatin accessibility.
Bioinformatics (Oxford, England) · 2026 · senior author
Unbiased characterization of COVID-19 endotypes leads to prognostication of high-risk individuals using routine blood tests.
Communications medicine · 2026 · senior author
Divergent responses to SARS-CoV-2 infection in bronchial epithelium with pre-existing respiratory diseases.
iScience · 2025
Latest funding
- $100,000
The evolving landscape of Long COVID: identifying dynamic molecular features to improve diagnosis, prognostication and identification of novel treatment targets
CIHR · 2025 · Co-investigator
- $150,000
Ultra Performance H-Class Liquid Chromatography Plus System
NSERC · 2024 · Co-investigator
- $90,000
Générer des contrefactuels pour la biologie moléculaire: une nouvelle approche basée sur des modèles d'apprentissage profond génératifs
NSERC · 2023 · Principal investigator
23 publications.
Refining sequence-to-expression modelling with chromatin accessibility.
Lapohos O, Fonseca GJ, Emad A
Unbiased characterization of COVID-19 endotypes leads to prognostication of high-risk individuals using routine blood tests.
Ma W, Soulé A, Allard C, Durand M, Tremblay K, Rousseau S, Emad A
Divergent responses to SARS-CoV-2 infection in bronchial epithelium with pre-existing respiratory diseases.
Oliva J, Ruffin M, Calmel C, Gibeaud A, Pizzorno A, Gaudin C, Chardonnet S, de Almeida Bastos V, Rosa-Calatrava M, Soulé A, Emad A, Rousseau S, Corvol H, Terrier O, Guillot L
Anticancer Monotherapy and Polytherapy Drug Response Prediction Using Deep Learning: Guidelines and Best Practices.
Emad A, Hostallero DE
Circulating IL-17F, but not IL-17A, is elevated in severe COVID-19 and leads to an ERK1/2 and p38 MAPK-dependent increase in ICAM-1 cell surface expression and neutrophil adhesion on endothelial cells.
Bédard-Matteau J, Soulé A, Liu KY, Fourcade L, Fraser DD, Emad A, Rousseau S
Deciphering lineage-relevant gene regulatory networks during endoderm formation by InPheRNo-ChIP.
Su C, Pastor WA, Emad A
INTREPPPID-an orthologue-informed quintuplet network for cross-species prediction of protein-protein interaction.
Szymborski J, Emad A
GRouNdGAN: GRN-guided simulation of single-cell RNA-seq data using causal generative adversarial networks.
Zinati Y, Takiddeen A, Emad A
Validation of ANG-1 and P-SEL as biomarkers of post-COVID-19 conditions using data from the Biobanque québécoise de la COVID-19 (BQC-19).
Yamga E, Soulé A, Piché A, Emad A, Durand M, Rousseau S
Interpretable deep learning architectures for improving drug response prediction performance: myth or reality?
Li Y, Hostallero DE, Emad A
The evolving landscape of Long COVID: identifying dynamic molecular features to improve diagnosis, prognostication and identification of novel treatment targets
Principal investigators: Rousseau, Simon
Keywords: Endothelial Biology; Long Covid; Machine Learning; Mass Spectrometry; Mendelian Randomization; Multiomic; Observational Cohort; Proteolysis; Proteomic; Sars-Cov-2
Ultra Performance H-Class Liquid Chromatography Plus System
Principal investigators: Prakash, Satya
Keywords: H-class Liquid Chromatography; Liquid Chromatography; Ultra Performance H-class Liquid Chromatography; UPLC; UPLC H-Class Plus system
Générer des contrefactuels pour la biologie moléculaire: une nouvelle approche basée sur des modèles d'apprentissage profond génératifs
Principal investigators: Emad, Amin A
Keywords: counterfactual synthesis; deep learning; generative neural networks; mrna stability; perturbation prediction; single cell transcriptomics
A computational framework to unravel gene regulatory mechanisms using single-cell omics data
Principal investigators: Emad, Amin
Keywords: bioinformatics; computational genome biology; transcriptional regulatory networks; transcriptomics; single-cell multiomics analysis
A computational framework to unravel gene regulatory mechanisms using single-cell omics data
Principal investigators: Emad, Amin
A machine learning framework for preclinical-to-clinical drug response prediction and identification of therapeutic targets
Principal investigators: Emad, Amin
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
- Simon Rousseau and Amin Emad: 6 shared papers
- Simon Rousseau and Jun Ding: 2 shared papers
- Simon Rousseau and Martin Sirois: 1 shared paper
- Simon Rousseau and Jonathan Spicer: 1 shared paper
- Martin Sirois and Jun Ding: 1 shared paper
- Martin Sirois and Jonathan Spicer: 1 shared paper
- Martin Sirois and Amin Emad: 1 shared paper
- Jun Ding and Jonathan Spicer: 1 shared paper
- Jun Ding and Amin Emad: 1 shared paper
- Jonathan Spicer and Amin Emad: 1 shared paper
- Electrical and Computer Engineering
- Meakins-Christie Laboratories
- Research Centre
- Other
Co-authors at McGill University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.