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.
11 years of coding experience
6 years of employment as a software developer
Bachelor 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)
Master's degree, Biomathematics, Bioinformatics, and Computational Biology, Master's degree, Biomathematics, Bioinformatics, and Computational Biology at University of Chicago
Contributions:4 pushes, 1 branch in 1 year 6 months
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