Gherman Novakovsky
Staff Deep Learning Engineer at Illumina
Vancouver, British Columbia, Canada
Summary
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Senior🎓
Top SchoolGherman Novakovsky is a Staff Deep Learning Engineer at Illumina with a PhD in Bioinformatics from UBC and eight years of experience applying machine and deep learning to genomics. He combines research rigour from academia with production-focused engineering, advancing interpretable and explainable AI for biological data. At Illumina he progressed rapidly from senior scientist to staff engineer, reflecting both technical depth in model development and impact on product-facing ML systems. Comfortable shipping Python-first solutions, he brings hands-on expertise in model interpretation that helps bridge complex computational biology problems and actionable insights. Based in Vancouver, he is known for persistent curiosity and a knack for translating academic methods into scalable engineering outcomes.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Bioinformatics, Doctor of Philosophy - PhD Bioinformatics at The University of British ColumbiaLomonosov Moscow State University
Github Skills (32)
motif7
genomics7
cran6
bioinformatics6
seq6
single-cell-genomics6
prediction5
gene-expression5
transcriptomics5
infer5
r-package4
scenic4
tsne4
rna-seq4
deep-learning3
Programming languages (5)
Github contributions (5)
serratus-bio/tantalus
May 2020 - Feb 2022
R Data Exploration for Serratus
Contributions:43 commits, 41 pushes, 2 comments in 1 year 9 months
fransilvion/ESC_RNA_seq
Mar 2018 - Oct 2018
Contributions:87 pushes, 1 branch in 7 months
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