Egor Revkov
Research Officer at Garvan Institute of Medical Research
Sydney, New South Wales, Australia
Summary
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Senior🎓
Top SchoolEgor 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
Bachelor's degree, Applied Mathematics and Physics, Bachelor's degree, Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)PhD, Computer Science, PhD, Computer Science at National University of Singapore
English, Russian
Github Skills (16)
seq9
rna-seq8
genomics7
bioinformatics7
keras-tensorflow6
snakemake6
cancer-genomics6
keras5
artificial-intelligence4
machine-learning4
deep-learning4
optimization4
tensorflow4
pytorch3
hyperparameter-optimization3
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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