Summary
Shannon Quinn is a Senior Staff Machine Learning Engineer with 15 years of experience building large-scale data science systems that intersect public health, biomedical imaging, and computational biology. Currently at Valo Health after roles founding ML efforts in spatial single-cell proteomics and serving in academia as an associate professor, Shannon blends production-grade systems and network programming expertise with deep domain knowledge in bioinformatics. He’s skilled across servers, databases, distributed computing, and high-throughput image processing, and he gravitates toward projects that translate large-scale data mining into direct public benefit. An itch for freelance work and open-source advocacy keeps him exploring alternative technologies and staying sharp in both engineering and conceptual pursuits. Driven by a PhD background in computational biology, he has a proven track record of turning complex biomedical datasets into actionable insights that speed discovery.
15 years of coding experience
11 years of employment as a software developer
B.S., Computer Science, B.S., Computer Science at Georgia Institute of Technology
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at University of Pittsburgh
M.S., Computational Biology, M.S., Computational Biology at Carnegie Mellon University