Vilmantas Gėgžna is a senior data scientist and educator with over a decade of experience applying Python and R to biomedical and life-science problems, from clinical spectroscopy to predictive modeling and computer vision. Currently at Danske Bank and lecturing in biostatistics at Vilnius University, he blends production-grade data workflows, model deployment, and reproducible research practices with hands-on teaching. His international research background includes an internship at Lund University and contributions to the r-hyperSpec Google Summer of Code project, where he gained practical DevOps, automation, and open-source collaboration experience. He holds a magna cum laude master's in biophysics and completed intensive industry-focused data science training at Turing College, sharpening skills in deep learning and SQL. Recognized for teaching excellence and clear communication, he routinely translates complex statistical concepts into approachable learning experiences. Beyond academia, he automates analyses and contributes open-source tooling, reflecting a pragmatic commitment to reproducibility and long-term impact.
10 years of coding experience
8 years of employment as a software developer
Master's degree (Magna Cum Laude), Biophysics, Master's degree (Magna Cum Laude), Biophysics at Vilniaus Universitetas / Vilnius University
Data Science, Data Science at Turing College
Bachelor's degree (Cum Laude), Biophysics, Bachelor's degree (Cum Laude), Biophysics at Vilniaus universitetas / Vilnius University
:exclamation: This is a read-only mirror of the CRAN R package repository. RcmdrPlugin.EZR — R Commander Plug-in for the EZR (Easy R) Package. Homepage: http://www.nature.com/bmt/journal/vaop/ncurrent/pdf/bmt2012244a.pdf http://www.jichi.ac.jp/saitama-sct/SaitamaHP.files/statmedEN.html
Contributions:4 PRs, 11 pushes, 4 branches in 4 years 9 months
Contributions:427 commits, 25 PRs, 180 pushes in 2 years 7 months
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