Ph.D. in Computational Biology, University of Toronto, 2019–2025
B.Sc. in Cell & Molecular Biology, University of Tehran, 2014–2018
Diploma in Life Sciences, Farzanegan 2 (NODET), Tehran, 2010–2014
Academic Research Experience
Postdoctoral Researcher
University of Toronto, Terrence Donnelly Centre for Cellular and Biomolecular Research | May 2025 – Present Supervisor: Dr. Aleksandrina Goeva
Developing a machine learning method to identify spatially localized disease-associated cell states across multi-sample spatial transcriptomics datasets.
Graduate Student Researcher
University of Toronto, Terrence Donnelly Centre for Cellular and Biomolecular Research | Jan 2020 – April 2025 Supervisor: Dr. Gary Bader
Developed computational frameworks to extract interpretable biological and technical signals from multi-sample single-cell datasets using statistical and machine learning approaches.
Designed a scalable linear mixed-effects model for group-based differential expression analysis in large-scale single-cell RNA-seq studies.
Built the first multi-strain single-cell atlas of the rat liver and performed inter-strain comparisons in a rat liver transplant model in collaboration with the MacParland Lab.
Research Assistant (Bioinformatics)
Sharif University of Technology, Tehran, Iran | July 2018 – August 2019 Supervisor: Dr. Ali Sharifi-Zarchi
Investigated the genomic principles of small RNA sorting into exosomes using machine learning and deep learning approaches (in collaboration with the Goodarzi Lab, UCSF).
Analyzed ctDNA samples from breast cancer patients using variant calling pipelines to identify driver mutations and druggable targets.
Explored the statistical characteristics of ctDNA data to guide simulation tool development.
Visiting Research Intern (Structural Biology)
EMBL, Heidelberg, Germany | June 2017 – September 2017 Supervisor: Dr. Janosch Hennig
Investigated TRIM25 protein structure using NMR spectroscopy and X-ray crystallography.
Conducted protein expression and purification to support structure analysis.
Undergraduate Research Assistant (Systems Biology)
University of Tehran | March 2017 – July 2018 Supervisor: Dr. Sayed Amir Marashi
Explored the relationship between metabolic gene co-expression and flux correlation in E. coli using microarray data and metabolic network sampling.
Industrial Research Experience
Part-Time Research Scientist (Computational R&D)
Biossil Inc., Toronto, ON | February 2024 – May 2024
Supervisor: Dr. Alexander Mosa
Applied machine learning techniques to analyze omics and biomedical text data for drug repurposing initiatives.
Part-Time Research Intern (Bioinformatics R&D)
Pardis Gene Technology Co., Tehran, Iran | December 2018 – June 2019
Supervisor: Dr. Ali Sharifi-Zarchi
Analyzed donor-derived cell-free DNA (cfDNA) from solid organ transplant patients to monitor graft health and enable earlier detection of acute rejection episodes.
Designed an individual identification SNP panel for the Iranian population based on the Iranome database.
Publications
Xu, C.J.*, Pouyabahar, D.*, et al. (2025) FLASH-MM: Fast and scalable single-cell differential expression using mixed effect models. https://doi.org/10.1101/2025.04.08.647860
Pouyabahar, D., Andrews, T. & Bader, G.D. (2025). Interpretable single-cell factor decomposition using sciRED. Nature Communications, 16, 1878.
Pouyabahar, D.*, Chung, S.W.* et al. (2023). A rat liver cell atlas reveals intrahepatic myeloid heterogeneity. iScience, 26(11), 108213.
Zirak, B.*,…, Pouyabahar, D.* et al. (2024). Revealing the grammar of small RNA secretion using interpretable machine learning. Cell Genomics, 4(4).
Clarke, Z.A.*, …, Pouyabahar, D.* et al. (2021). Tutorial: guidelines for annotating single-cell transcriptomic maps using automated and manual methods. Nature Protocols, 16(6), 2749-2764.
Lim, A.A., Pouyabahar, D., et al. (2024). Single-cell transcriptome analysis reveals CD34 as a marker of human sinoatrial node pacemaker cardiomyocytes. Nature Communications, 15, 10206.
McEvoy, C.M., et al. (2022). Single-cell profiling of healthy human kidney reveals features of sex-based transcriptional programs and tissue-specific immunity. Nature Communications, 13(1), 7634.
Kozlowski, H.N., et al. (2023). Genotyping SARS-CoV-2 Variants Using Ratiometric Nucleic Acid Barcode Panels. Analytical Chemistry, 95(14), 5877-5885.