Andrey Bzikadze is an Applied Scientist at Amazon with 11 years of experience bridging computational research and production-scale machine learning. He holds a PhD in Bioinformatics from UC San Diego and was a member of the Telomere-to-Telomere Consortium that produced the first complete human genome assembly, with deep expertise in long-read genome assembly, centromere genomics, and immunogenomics. Before Amazon he developed statistical models for immune repertoire analysis and improved recommendation systems during internships at Yandex and Amazon, showing a mix of theoretical rigor and product-minded engineering. Trained in mathematical statistics with perfect GPAs and a background in data mining, he combines strong probabilistic modeling skills with applied genomics to translate complex biological data into scalable solutions.
11 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Statistical modeling, Mathematical Statistics, GPA 4.0, Master of Science - MS, Statistical modeling, Mathematical Statistics, GPA 4.0 at Saint Petersburg State University
University of California, San Diego
Data Mining, GPA 4.0, Data Mining, GPA 4.0 at Computer Science Center
Contributions:3 releases, 92 commits, 20 PRs in 10 months
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