Sara Knaack

Scientist I In Computational Biology

Madison, Wisconsin, United States
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Summary

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Senior
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Top School
Sara Knaack is a computational biologist and Scientist I at the University of Wisconsin–Madison with nine years of experience applying quantitative, physics-trained analysis to gene regulation and single-cell genomics. She develops and applies computational methods for RNA-seq, ATAC-seq, ChIP-seq and Hi-C to infer regulatory networks across diverse biological contexts, from plant symbiosis to cancer and immunology. Her background as a Ph.D. experimental nuclear physicist informs rigorous experimental design, modeling, and attention to reproducibility and bias in high-throughput data. She is proficient in C/C++, MATLAB, R/Python ecosystems via Bioconductor/conda, and remote high-throughput computing, and routinely integrates public genomics resources like ENSEMBL, Phytozome and GEO. Sara is particularly interested in multi-ome single-cell technologies and leveraging statistical physics approaches to improve interpretation of complex assays. Colleagues value her cross-disciplinary fluency that bridges deep computational tooling with practical biological insight.
code9 years of coding experience
job1 year of employment as a software developer
bookCapstone Certificate in Bioinformatics, Biomathematics, Bioinformatics, and Computational Biology, Capstone Certificate in Bioinformatics, Biomathematics, Bioinformatics, and Computational Biology at University of Wisconsin-Madison
bookUniversity of Illinois Urbana-Champaign
languagesEnglish, German
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Github Skills (38)

seq10
sequencing9
meta-analysis9
bioinformatics9
genomics9
rna-seq9
python-bindings9
population-genetics8
cran8
comparative-genomics8
single-cell-genomics8
taxonomy7
dia7
phylogenetics6
cromwell6

Programming languages (5)

RC++CJupyter NotebookPython

Github contributions (5)

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Roy-lab/Arboretum2.0

Oct 2016 - Feb 2021

Contributions:33 commits, 22 pushes, 1 branch in 4 years 5 months
Contributions:6 pushes, 1 branch in 9 months
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Sara Knaack - Scientist I In Computational Biology