Paula Štancl

Paula Štancl, PhD has a background in molecular biology. She is currently employed on a project that investigates ______________.

She has experience in data analysis and application of statistical and machine learning methods in genomics, including data from metagenome sequencing, RNA seq, ChIP seq, DRIP seq, and Oxford Nanopore technologies.

Paula is a teaching assistant in graduate level courses, including Algorithms and Programming, Statistics and Machine Learning, and Computational genomics.

Follow @maja_kuzmantwitter

• GitHub
• Google Scholar
• ResearchGate
• Linkedin profile

Publications 

Štancl, P., Hamel, N., Sigel, K. M., Foulkes, W. D., Karlić, R., & Polak, P. (2022). The Great Majority of Homologous Recombination Repair-Deficient Tumors Are Accounted for by Established Causes. Frontiers in Genetics, 13. https://doi.org/10.3389/fgene.2022.852159