Dreycey Albin is a Software Engineer with eight years of experience blending machine learning, computational biology, and production cloud systems, currently building ML inference infrastructure in Azure at Microsoft. With a PhD-focused background in computer science and an MS in computational biology, they have moved between R&D on medical device ML at Medtronic and genome-scale algorithm work at Inscripta, bringing research rigor to production software. Comfortable across data curation, model development, and control-plane services, Dreycey bridges domain science and scalable engineering to deliver integrated ML-enabled systems. Based in Bellevue and self-described as a “SWE by day, genome hacker by night,” they pair curiosity-driven experimentation with disciplined cloud engineering. An often-overlooked strength is their track record of translating prototype research into documented, demo-ready products that integrate hardware, data pipelines, and inference.
7 years of coding experience
1 year of employment as a software developer
MS - Systems, Synthetic, and Physical Biology (Emphasis: Computational Biology), MS - Systems, Synthetic, and Physical Biology (Emphasis: Computational Biology) at Rice University
BS - Chemistry-ACS Certified, Chemistry, BS - Chemistry-ACS Certified, Chemistry at University of Northern Colorado
PhD - Computer Science, PhD - Computer Science at CU Boulder
Finding phages for phage therapy using Enrichment followed by Differential Genome Amplification
Contributions:10 reviews, 11 PRs, 27 pushes in 1 year 4 months
genometherapyphagesfindingenrichment
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