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
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)
English, Turkish, Azerbaijani, Persian, French