Summary
Ali Aghadoukht is a research-focused computational biologist with 8 years of experience applying genomics, epigenetics, and single-cell methods to study memory, stress resilience, and protein interactions. Currently a Research Assistant at McGill, he performs sex-specific scRNA-seq analyses of stress responses in the medial prefrontal cortex, building on master’s work at EPFL that combined CRISPR/dCas9 epigenetic editing with transcriptomic profiling of engram cells. He has strong hands-on experience with RNA-seq and scRNA-seq pipelines (HISAT2, StringTie, Kallisto, DESeq2, Seurat, CellChat) and R-based dataset preparation for protein interaction scoring. His background spans academic institutions across Europe and Canada—including INSERM, EPFL, Institut Pasteur, and Université Paris-Saclay—reflecting both wet-lab and computational fluency. Notably, he bridges experimental design and computational analysis, enabling reproducible multi-condition differential expression and network-level interpretations. Based in Montreal, he brings a systems-level perspective to neuroepigenetics and data-driven discovery.
8 years of coding experience
1 year of employment as a software developer
Master's student - Master's Thesis, Epigenetics and Genomics, Master's student - Master's Thesis, Epigenetics and Genomics at EPFL (École polytechnique fédérale de Lausanne)
Master's degree, Life Sciences and Health, International program in Systems and Synthetic Biology (mSSB), Master's degree, Life Sciences and Health, International program in Systems and Synthetic Biology (mSSB) at Université Paris-Saclay
English, Turkish, Azerbaijani, Persian, French