Sergey Kolchenko

Machine Learning Engineer at Cellarity

Chicago, Illinois, United States
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Summary

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Senior
🎓
Top School
Sergey Kolchenko is a Machine Learning Engineer with 11 years of experience applying bioinformatics and deep learning to biomedical imaging and genomics problems. With an MS from the University of Chicago and a foundation from MIPT, he has moved from large-scale genomics and epigenomics pipelines to production ML at Cellarity, bridging research-grade data processing (Hi-C, single-cell RNA-seq, ATAC-seq) with deployable models. He excels at scaling pipelines for HPC and cloud environments, building reproducible workflows and visualizations that translate complex omics data into actionable insights. Outside work he’s a coffee-fueled tennis analytics enthusiast, bringing the same data-driven curiosity to sport as to cellular biology.
code11 years of coding experience
job6 years of employment as a software developer
bookBachelor of Science (BSc), Department of Biological and Medical Physics, Bachelor of Science (BSc), Department of Biological and Medical Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
bookMaster's degree, Biomathematics, Bioinformatics, and Computational Biology, Master's degree, Biomathematics, Bioinformatics, and Computational Biology at University of Chicago
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Github Skills (44)

pytorch10
image-processing10
imagenet10
semantic-segmentation10
image-segmentation10
segmentation10
computer-vision10
segformer10
transformers9
bioinformatics9
transcriptomics9
deep-learning8
scanpy8
machine-learning7
object-detection6

Programming languages (6)

C++RJavaScriptGroovyJupyter NotebookPython

Github contributions (5)

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Contributions:13 commits, 10 pushes, 1 branch in 17 days
azkalot1/bioinfCourse

Oct 2018 - Apr 2020

Contributions:4 pushes, 1 branch in 1 year 6 months
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