Paul Blischak
Sr Digital Enablement Scientist at Bayer
San Diego, California, United States
Summary
🤩
Rockstar🎓
Top SchoolPaul Blischak is a data scientist with a decade of experience applying statistical modeling, software engineering, and genomic analysis to decode complex, often polyploid, genomes. He builds open-source tools and reproducible pipelines—in Python, R, and C++—to translate genomic complexity into actionable biological insight, leading community-driven projects like the “Ploidyverse.” His work spans academia and industry, from NSF-funded postdoctoral research and publications to applied data science at Bayer Crop Science. Skilled in population-genomic modeling, demography inference, and end-to-end data workflows, he combines wet-lab experience and fieldwork with production-grade software development. Notably, he has a track record of turning novel statistical models into widely usable packages and tutorials that lower the barrier for others working on polyploid species.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD Ecology and Evolutionary Biology, Doctor of Philosophy - PhD Ecology and Evolutionary Biology at The Ohio State University
Github Skills (15)
bioinformatics10
cython10
rust-api9
package-management9
conda9
genetic9
probability9
htslib8
statistics8
bioconda8
conda-forge7
zig7
ndarray5
raspberry-pi5
data-science3
Programming languages (4)
Github contributions (5)
pblischak/HyDe
Feb 2017 - Jul 2019
Hybridization detection using phylogenetic invariants
Contributions:8 releases, 177 commits, 6 PRs in 2 years 5 months
hybridizationphylogenomicsphylogenetic-networkspython-packagecython
pblischak/zprob
Jun 2023 - Sep 2025
A Zig Module for Random Number Distributions
Contributions:3 releases, 17 PRs, 59 pushes in 2 years 2 months
zigprobabilityrandom-samplingstatistics
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