Anastasia Baryshnikova
Head Of Statistical Genetics
San Francisco, California, Germany
Summary
👤
Senior🎓
Top SchoolAnastasia Baryshnikova is Head of Statistical Genetics with 11 years of experience translating deep experimental genetics into computational insights that illuminate human physiology and drug targets. Trained in yeast combinatorial genomics, she built large-scale interaction and phenotype atlases—from a ~36M knockout interaction network to a 4,500-gene Yeast Phenome—then converted those methods to population-scale human genetics using UK Biobank and multi-omic data. She develops statistical and network-based tools (including the SAFE algorithm) to map genetic interdependencies, predict vulnerabilities, and generate testable therapeutic hypotheses beyond standard GWAS. Known for connecting genome architecture to functional robustness, she blends rigorous wet-lab literacy with scalable computational pipelines and a track record of turning rich phenotypic compendia into actionable biology.
10 years of coding experience
University of MilanPhD Molecular Genetics & Computational Biology, PhD Molecular Genetics & Computational Biology at University of Toronto
English, Italian, Russian
Github Skills (10)
bioinformatics10
spatial10
computational-biology10
network-analysis10
topological-data-analysis10
spatial-analysis9
bids9
umbrella8
python8
colony6
Programming languages (4)
Github contributions (5)
baryshnikova-lab/safepy
May 2018 - Jan 2023
Python implementation of Spatial Analysis of Functional Enrichment (SAFE)
Contributions:107 commits, 13 PRs, 66 pushes in 4 years 8 months
pythonenrichment-analysisspatial-analysispython-implementationspatial
baryshnikova-lab/YeastPhenome.org
Apr 2016 - Oct 2020
Contributions:190 commits, 37 PRs, 258 pushes in 4 years 7 months
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