Petra Lenzini is a research statistician with nine years of experience improving data and informatics pipelines for trans-omics and neuroimaging research at Washington University in St. Louis. She designs and implements reproducible pipelines that harmonize clinical, imaging, and genomic data from sources like UK Biobank, HCP, REDCap, and XNAT, and she has hands-on expertise with cloud-enabled tools (DataLad, brainlife.io) and high-throughput bioinformatics workflows. Her technical toolkit spans SAS, R, Python, Bash, LSF/Grid Engine, and a wide array of genomics packages (minfi, MMAP, Epacts, SHAPEIT, Minimac) as well as microbiome and expression analysis pipelines. Petra pairs rigorous statistical methods—mixed GLMs, survival analysis, EWAS/GWAS workflows, and power analysis—with clear stakeholder communication to streamline data movement and reduce redundancies across multi-center studies. She also provides public user support, writes grants and protocols, and has a background in fine arts, giving her a distinctive blend of analytical precision and visual/communication sensibility.
9 years of coding experience
Bachelor of Fine Arts (BFA), Painting, 3.8, Bachelor of Fine Arts (BFA), Painting, 3.8 at Washington University in St. Louis - Sam Fox School of Design and Visual Arts
MS, Genetic Epidemiology, 4.0, MS, Genetic Epidemiology, 4.0 at Washington University School of Medicine in St. Louis
Juptyer notebook of Python functions to reformat NIH Toolbox data (as csv exports of Scores and Raw data from an iPad application) into NDA structures with the help of a Crosswalk to map between data dictionaries
Contributions:7 PRs, 82 pushes, 1 branch in 2 years 2 months
csvipadpythonexportsraw-data
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.