Ronald Lencevičius
Los Angeles, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRonald Lencevičius is a Statistics PhD student at UC Santa Barbara with nine years of experience applying statistical learning, machine learning, and software engineering to problems in adversarial robustness, predictive modeling, and computer vision. He combines rigorous academic training (MS in Mathematics with a statistics emphasis and BS degrees in Computer Science and Applied Mathematics) with hands-on research and industry experience, including roles at UCSB PSTAT, NSF REU, and a software engineering internship at Nuance. Ronald is adept at implementing statistical and deep learning models end-to-end and has experience supporting research computing workflows. Outside of research he pursues nature photography and painting—his LinkedIn banner is a grizzly spotted on a 2022 road trip—reflecting a creative eye that complements his technical work.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at UC Santa BarbaraCal Poly Pomona
Lithuanian, English, French, German
Github Skills (200)
docker-run10
notebook10
adversarial-attacks10
python10
powerline10
image-processing10
bash10
tangent10
ipython10
ubuntu10
paradox10
hosting10
statistics10
editor10
prompt10
Programming languages (18)
Github contributions (5)
392781/scikit-ntk
Jun 2022 - Dec 2022
Neural Tangent Kernel (NTK) module for the scikit-learn library
Contributions:20 releases, 61 commits, 25 PRs in 5 months
kernelpythonmachine-learningtangentscikit-learn
392781/392781.github.io
Jan 2021 - Feb 2025
Personal website
Contributions:1 review, 1 PR, 94 pushes in 4 years 2 months
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