Ronaldas L
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 (172)
notebook10
adversarial-attacks10
python10
image-processing10
firmware10
ipython10
bluetooth10
statistics10
rs10
pdf-viewer10
flexbox10
face-recognition10
html10
wacom10
tooltips10
Programming languages (18)
Github contributions (5)
392781/FaceOff
Jul 2019 - Oct 2022
Steps towards physical adversarial attacks on facial recognition
Contributions:121 commits, 7 PRs, 56 pushes in 3 years 3 months
adversarial-attacksfacial-recognitionadversarial-machine-learningfacenet-pytorchphysical-adversarial-attacks
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
kernelscikit-learnneural-tangent-kernelntkscikit
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