Summary
Leandro Hermida is a bioinformatics and computational biology consultant with 11+ years of experience applying machine learning, biostatistics, and software engineering to cancer genomics, immuno-oncology, and metagenomics. He has led large-scale analyses across WGS/WXS, RNA-seq, microarrays, metabolomics and microbiome datasets, and served technical lead roles on major cancer genomics programs at the NCI. Comfortable in both research and production contexts, he builds reproducible pipelines with Python, R, GitHub and Snakemake and has helped academic and industry clients—including SIB, FMI and PMI—operationalize high-throughput omics workflows. Based in Pittsburgh, he blends a computer science MS and chemical engineering background to bridge algorithmic rigor with practical data infrastructure. He often works at the intersection of biology and systems design, translating complex multi-omics signals into interpretable results for translational research.
11 years of coding experience
11 years of employment as a software developer
Master of Science with Thesis - MSc, Computer Science, Master of Science with Thesis - MSc, Computer Science at University of Maryland
Bachelor of Engineering - BEng, Chemical Engineering, Bachelor of Engineering - BEng, Chemical Engineering at Vanderbilt University
English, Spanish