Samuel D'souza is a founding engineer with eight years of experience building software at the intersection of data, cloud compute, and biology from research labs to startups. He has designed and shipped end-to-end systems—from graph-modeled LIMS and Nextflow omics pipelines to cloud compute tooling and large-scale variant processing—collaborating closely with scientists and ML teams. Comfortable in both low-level C++ work and high-level data engineering, Samuel's background spans production bioinformatics at Illumina to bespoke research platforms at the Chan Zuckerberg Biohub and insitro. Now based in New York, he continues to found and scale early-stage ventures focused on computational biology workflows and reproducible data infrastructure. An uncommon thread through his career is hands-on hardware and lab experience, which informs pragmatic tooling that bridges wet lab processes and software systems.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BSc Medical Biosciences, Bachelor of Science - BSc Medical Biosciences at Imperial College London
International Baccalareuate Chemistry Biology History HL; English Maths German SL, International Baccalareuate Chemistry Biology History HL; English Maths German SL at Charterhouse School
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