Postdoctoral Researcher at University of Washington
Seattle, Washington, United States
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Summary
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Senior
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Jiadong Lin is a postdoctoral researcher in Seattle with a decade of experience at the intersection of machine learning and computational genomics, focused on algorithms for structural variant detection and variation/graph genomes. He combines deep learning for genomics and pathology images with classical methods like random forests, AdaBoost, and sequential pattern mining to tackle noisy biological and time-series data. His work spans academia and industry research projects—including algorithmic contributions that improved classifier AUCs by 2–7% during a University of Michigan collaboration—and bridges theory and practical tool-building in Python, C++ and Java/.NET. Trained with dual PhD affiliations and a strong CS and engineering foundation, he brings a rare blend of algorithmic rigor and hands-on systems programming to large-scale genomic variation problems.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Bioinformatics and Computational Biology, Doctor of Philosophy - PhD, Bioinformatics and Computational Biology at Leiden University
Bachelor's Degree, Electrical and Electronics Engineering, Bachelor's Degree, Electrical and Electronics Engineering at Xidian University
Doctor of Philosophy, Bioinformatics and Computational Biology, Doctor of Philosophy, Bioinformatics and Computational Biology at Xi'an Jiaotong University
Master's Degree, Computer Science, Master's Degree, Computer Science at Michigan State University
Contributions:1 release, 42 pushes, 1 branch in 1 year 2 months
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Jiadong Lin - Postdoctoral Researcher at University of Washington