Aldo Corchado is a research-focused computational biologist and software-oriented research assistant based in Montreal with nine years of experience applying Python, Bash and cluster computing to genomics and regulatory sequence analysis. He completed graduate work in human genetics at McGill鈥檚 Computational and Statistical Genomics Lab and has contributed to projects spanning transcription factor binding site discovery, RNA stability prediction, and protein structure inference. His hands-on background blends wet-lab techniques from early synthetic biology and DNA profiling with statistical modelling, Bayesian scoring methods, and machine learning implementations. Aldo has worked internationally, including on the RSAT developer team and in Mexican research labs, reflecting an ability to move between collaborative academic codebases and experimental workflows. He maintains an academic footprint (Google Scholar, ORCID) alongside a GitHub presence, signaling reproducible, research-driven software practices. Notably, his profile shows recurrent emphasis on building scalable analysis pipelines for comparative genomics rather than only single-tool development.
9 years of coding experience
3 years of employment as a software developer
B.S. Biotechnology Engineering, Biotechnology, B.S. Biotechnology Engineering, Biotechnology at Tecnol贸gico de Monterrey
Quantitative modeling of sequence, DNA accessibility, and methylation preferences of transcription factors using ChIP-seq data.
Contributions:13 pushes, 1 branch in 3 months
sequencechip-seqdnadna-sequencetranscription
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Aldo Corchado - Research Assistant at McGill University