Summary
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.
9 years of coding experience
1 year of employment as a software developer
Capstone Certificate in Bioinformatics, Biomathematics, Bioinformatics, and Computational Biology, Capstone Certificate in Bioinformatics, Biomathematics, Bioinformatics, and Computational Biology at University of Wisconsin-Madison
University of Illinois Urbana-Champaign
English, German