Natália Ružičková
Seed Product Development Computational Biologist
Gemeinde Klosterneuburg, Lower Austria
Summary
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Senior🎓
Top SchoolNatália Ružičková is a computational biologist with 8 years of interdisciplinary experience at the interface of physics, statistical genomics and quantitative biology, currently developing predictive models for seed product development at Corteva Agriscience. Trained in physics and now finishing a PhD in Statistical Genomics and Quantitative Biology at ISTA, she builds interpretable models that trace how genetic and environmental effects propagate through regulatory pathways to predict gene expression and disease-relevant traits. Her work blends theory and experiment—ranging from mechanochemical patterning and cell migration to pancreatic islet dynamics in collaboration with clinical physiology groups—showing a knack for translating complex biology into actionable, interpretable predictions. She has a strong record of mentoring and science outreach, from leading high-school teams in international physics competitions to representing PhD students in institute governance. Comfortable with deep learning on large biobank datasets as well as probabilistic inference and mechanistic modeling, she thrives on quantitative solutions that are both scientifically rigorous and practically useful. Based in Lower Austria, she brings a rare combination of theoretical physics training and hands-on genomics experience to applied problems in agriculture and medicine.
8 years of coding experience
3 years of employment as a software developer
Statistical Genomics Summer School, Statistical Genomics Summer School at University of OxfordDoctor of Philosophy - PhD, Statistical Genomics and Quantitative Biology, Doctor of Philosophy - PhD, Statistical Genomics and Quantitative Biology at Institute of Science and Technology AustriaBachelor's degree with Honours, Physics, Bachelor's degree with Honours, Physics at Comenius University in Bratislava / Univerzita Komenského v BratislavePhysics, Physics at Charles University in Prague
English, German, Spanish
Github Skills (13)
mixture8
gwas8
bayesian6
eigen6
regression-models6
marker6
regression5
bayesian-statistics5
cpp4
parallel3
machine-learning3
causal2
hybrid2
Programming languages (2)
Github contributions (5)
medical-genomics-group/data-analysis
Aug 2019 - Sep 2020
Contributions:65 commits, 66 pushes, 1 branch in 1 year 1 month
medical-genomics-group/gVAMP
Sep 2022 - Sep 2024
Vector Approximate Message Passing inference framework for GWAS
Contributions:2 PRs, 4 pushes, 1 comment in 2 years
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