Egor Revkov
Singapore
Summary
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SeniorEgor Revkov is a computational researcher with 11 years' experience applying statistical machine learning to cancer genomics and transcriptomics, currently a Research Officer at the Garvan Institute in Sydney. He completed a PhD in Computer Science at the National University of Singapore and spent multiple years at the Genome Institute of Singapore developing methods for cellular deconvolution and omics-driven cancer cell identification. Egor has translated research into reproducible tools—most notably contributing to PUREE—and has hands-on experience building cloud-enabled bioinformatics pipelines and visualization prototypes. He blends rigorous mathematical training from MIPT with practical software engineering (bash, R, AWS) to bridge method development and scalable analysis workflows. Notably, his profile reflects a sustained focus on making complex statistical techniques accessible and production-ready for real-world biomedical problems.
11 years of coding experience
Github Skills (11)
rna-seq8
keras-tensorflow7
keras6
hyperparameters6
cancer-genomics5
bioinformatics5
artificial-intelligence4
deep-learning4
tensorflow4
machine-learning3
hyperparameter-optimization2
Programming languages (3)
Github contributions (5)
erevkov/bcbio_aws_setup
Aug 2017 - Nov 2021
Contributions:15 pushes, 1 branch in 4 years 2 months
erevkov/entropy-dimers-thesis
Jan 2020 - Nov 2021
Contributions:3 pushes, 1 branch in 1 year 10 months
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