Rishi De-kayne - Scientist at Arcadia Science

Rishi De-kayne

Scientist at Arcadia Science

United States

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Summary

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Senior

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Top School

Rishi De-kayne is a scientist and bioinformatician with eight years' experience applying genomics and statistical analysis to understand genome structure, adaptation, and speciation, particularly in non-model organisms with complex genomes. He has led genome assembly and annotation efforts and analyzed large whole-genome sequencing datasets using HPC and scientific computing pipelines across academic and industry settings, including postdoctoral positions at UC Santa Cruz, UC Berkeley, and the University of Edinburgh, and now at Arcadia Science. Passionate about emerging genomics technologies, he packages reproducible analysis scripts alongside publications and emphasizes scalable, production-ready workflows. Trained with a PhD in Genomics from the University of Bern and a background in tropical forest ecology from Imperial College London, he blends ecological insight with computational rigor to tackle evolutionary questions at genomic scale.

8 years of coding experience

5 years of employment as a software developer

Doctor of Philosophy - PhD Ecology and Evolutionary Biology - Genomics, Doctor of Philosophy - PhD Ecology and Evolutionary Biology - Genomics at University of Bern

Master of Science - MS Tropical Forest Ecology, Master of Science - MS Tropical Forest Ecology at Imperial College London

Github Skills (23)

ncbi7

calculation7

meta-analysis6

biodiversity6

ecology6

protein-sequences4

taxonomy4

statistics4

traits4

convergence4

sbml4

population-genetics3

nmf3

bioinformatics3

genetic2

Programming languages (4)

C++DHTMLPython

Github contributions (5)

RishiDeKayne/WhitefishReferenceGenome

Jan 2019 - May 2021

Contributions:47 commits, 31 pushes in 2 years 4 months

RishiDeKayne/Danaus_WGS

Feb 2023 - Jan 2025

Contributions:145 pushes in 1 year 11 months

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