Paul Blischak
Data Scientist
Gainesville, Florida, 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.
10 years of coding experience
6 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 (17)
package-management10
conda10
genetic10
forge10
rust-api10
bioinformatics10
bam9
probability9
bioconda9
htslib8
conda-forge7
statistics7
raspberry7
api7
rust5
Programming languages (4)
Github contributions (5)
pblischak/zprob
Jun 2023 - Mar 2025
A Zig Module for Random Number Distributions
Contributions:1 release, 10 PRs, 51 pushes in 1 year 9 months
probabilityrandom-samplingstatisticszig
pblischak/HyDe
Feb 2017 - Jul 2019
Contributions:8 releases, 177 commits, 6 PRs in 2 years 5 months
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