Summary
Denis Kaznadzey is a Senior Staff Scientist and computational biologist with over 20 years of experience building high-performance bioinformatics systems and leading multi-disciplinary engineering teams. He has taken multiple genome-scale products from research prototype to production—designing ultra-fast sequence search and mapping algorithms, whole-genome annotation pipelines, and scalable NoSQL/embedded database engines that handle massive biological datasets. His work includes inventing throughput-boosting methods for sequence alignment, gene-regulatory network prediction, and discourse-based biomedical literature mining, and he continues to drive variant-calling and mapping tool development at Thermo Fisher’s NGS division. Equally comfortable in academia and industry, he repeatedly delivers order-of-magnitude performance gains through algorithmic innovation and careful systems engineering. Based in Walnut Creek, CA, he pairs deep domain knowledge in genomics and ‘omics with practical experience deploying production analytics at scale.
11 years of coding experience
21 years of employment as a software developer
certification, CS and Applied Math, certification, CS and Applied Math at Moscow State University, School of Mathematics and Mechanics
Master of Science (MS), Molecular Biology / Biochemistry, Master of Science (MS), Molecular Biology / Biochemistry at Moscow State University, School of Biology
None, molecular genetics, None, molecular genetics at University of Illinois Chicago
Biology; Math, Biology; Math at Moscow School 57
English, Russian