Summary
Mohsen Botlani is a senior computational biologist with nine years of hands-on experience building scalable NGS pipelines, developing ML-driven QC classifiers, and applying data mining to cancer and clinical genomics. He has led production deployments for RNA-seq and WES on cloud platforms (AWS/DNAnexus) and delivered specialized assays including fusion, CNV, MSI, and ITD detection across clinical and research settings. His background spans industry and academia—from developing liquid biopsy and targeted sequencing methods at Ambry and Natera to pan-cancer signature discovery and multi-omics integration at M2Gen—grounded in a PhD-level training in cell and molecular biology. Not obviously, his early work in materials and industrial neural-network models for steel prediction gave him a pragmatic systems mindset that informs robust pipeline engineering today. Based in San Francisco, he combines domain expertise in cancer genomics with practical cloud-native engineering to move bioinformatics from prototype to production.
8 years of coding experience
11 years of employment as a software developer
PhD Student, Cell Biology, Microbiology and Molecular Biology, PhD Student, Cell Biology, Microbiology and Molecular Biology at University of South Florida
Bachelor of Science (BSc), Material Science, Bachelor of Science (BSc), Material Science at Isfahan University of Technology
Persian, English