Mayur Divate

Bioinformatics Engineer

Greater Melbourne Area Australia
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Summary

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Senior
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Mayur Divate is a bioinformatics engineer and final-year PhD with 11 years of experience applying computational methods to cancer and NGS data. During his PhD at QUT he developed deep learning models to identify pan-cancer gene expression signatures, then translated those models to nominate cell-surface and secreted protein markers and to infer origins of cancers of unknown primary via transfer learning. He brings hands-on production experience from Agilent in variant calling, annotation and cloud-enabled pipelines (Python, SQL, AWS, APIs) alongside a strong research background in ATAC-seq, ChIP-seq and single-cell RNA-seq. Comfortable across Python, R and Java, he has a track record of building tools and pipelines (including the GUAVA ATAC-seq tool) and operationalizing analyses for research and industry. Based in Queensland, Australia, he is seeking roles in data science, Python development or postdoctoral bioinformatics where he can bridge algorithm development and applied genomics. Colleagues would describe him as someone who moves seamlessly between exploratory research and production-grade bioinformatics solutions.
code11 years of coding experience
job3 years of employment as a software developer
bookDoctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at QUT (Queensland University of Technology)
bookMaster of Science (MSc), Bioinformatics, A, Master of Science (MSc), Bioinformatics, A at Savitribai Phule Pune University
languagesHindi, Marathi, English
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Github Skills (14)

visualization9
shap7
gradient-boosting7
rna-seq7
shapley7
deep-learning6
sensitivity-analysis6
machine-learning6
machine-learning-models5
bioinformatics5
genomics5
sequencing4
python4
chip-seq4

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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MayurDivate/BamTrimmer

Oct 2019 - Dec 2021

Contributions:15 releases, 32 pushes, 3 branches in 2 years 2 months
Contributions:34 pushes, 1 branch in 4 years
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