Bruno Grande is a data engineer with 11 years of experience who blends a PhD-trained scientific mindset with pragmatic software engineering to build reproducible, user-focused data tools and pipelines. He has shepherded large-scale genomics projects, productionized data orchestration for research platforms, and trained deep-learning models for lab imaging, always emphasizing reproducibility and accessible workflows. Based in Seattle, he’s implemented cross-team infrastructure—Airflow-friendly Python packages, CloudFormation CI/CD, and Synapse-backed filesystem abstractions—that reduce friction for scientists and engineers alike. Colleagues describe his approach as “optimistic, thoughtful proactiveness,” reflected in concrete outcomes like repository templates, CodeOcean capsules, and a Streamlit dashboard for lab instruments. Outside work he champions open science as a trainer in The Carpentries and the Tidyverse, and captures nature through wildlife photography, signaling a curiosity that feeds both his technical creativity and user-centered design.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.Sc.) Biochemistry (Honours), Management Minor, Bachelor of Science (B.Sc.) Biochemistry (Honours), Management Minor at McGill University
Doctor of Philosophy - PhD Computational Biology, Doctor of Philosophy - PhD Computational Biology at Simon Fraser University
A collection of Galaxy tools and workflows for performing cancer genome analyses.
Contributions:7 commits, 2 PRs, 4 pushes in 1 year 7 months
genomepipelineanalysesgalaxycancer
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