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Olga Botvinnik

Functional genomics for rare genetic diseases

Studying the “dark matter” of genomes since 2017. PhD in single-cell RNA-sequencing. “Grand unified theory of cells,” hashing, sequencing weird creatures, STEM outreach. MIT, Broad Institute, UCSC, UCSD. Open science/data/source. Openly available draft manuscript for functional prediction of transcriptomic “dark matter” across species available here: Paper: https://www.biorxiv.org/content/10.1101/2021.07.09.450799v1 Code: https://github.com/czbiohub/scrnaseq-for-the-99-percent

Avid open source software (OSS) contributor in Python and Nextflow langauges (https://github.com/olgabot).

  • Contributed to 17 OSS repos
  • Created 19 libraries, 7 in the last year

Popular libraries:

Sencha, creator https://github.com/czbiohub/sencha Sencha is a Python package for directly translating RNA-seq reads into coding protein sequence.

Core member, nf-core https://nf-co.re/ https://github.com/nf-core/kmermaid (created), https://github.com/nf-core/rnaseq (contributed) Contributed to a community effort to collect a curated set of analysis pipelines built using Nextflow.

Sourmash, maintainer https://github.com/dib-lab/sourmash Compute and compare MinHash signatures for DNA data sets.

Seaborn, contributor https://github.com/mwaskom/seaborn Statistical data visualization using matplotlib.

Prettyplotlib, creator https://github.com/olgabot/prettyplotlib Painlessly create beautiful matplotlib plots.

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Olga Botvinnik
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Experience

Statistical Geneticist at BridgeBio
Advisor at Arcadia Science

Education

International Baccalaureate Diploma, South Eugene High School
S.B., S.B., Mathematics, Biological Engineering, Massachusetts Institute of Technology
Doctor of Philosophy (PhD), Bioinformatics and Systems Biology, University of California, San Diego
M.S., Bioinformatics, University of California, Santa Cruz

Location

United States