Dustin Morado is a research engineer based in Stockholm with 12 years of experience optimizing cryo-electron tomography workflows across hardware, automation, and computational pipelines. He specializes in improving data collection on transmission electron microscopes and advancing sub-tomogram alignment, averaging, and classification to extract higher-resolution structures from smaller datasets. Dustin has built and maintained high-throughput acquisition systems and helped secure and deploy a dedicated HPC cluster to run demanding image-processing algorithms. He combines hands-on lab training of PhD students and postdocs with strong Linux and image‑processing expertise, and has kept current by attending and applying methods from leading workshops and packages like Dynamo, EMAN2, and RELION. A mathematician by training, he brings quantitative rigor to experimental design and algorithmic tuning, often translating practical microscope constraints into computational gains.
12 years of coding experience
3 years of employment as a software developer
Bachelor of Applied Science (BASc), Applied Mathematics, Bachelor of Applied Science (BASc), Applied Mathematics at Georgia Institute of Technology
Contributions:1 review, 5 commits, 1 PR in 7 months
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