Vu Tran
Principal Machine Learning Scientist at LexisNexis Risk Solutions
California, United States
Summary
👤
Senior🎓
Top SchoolVu Tran is a Principal Machine Learning Scientist based in California with a decade of experience applying ML, computer vision, NLP, and predictive analytics across defense, commercial, and insurance domains. He has progressed from operations research and simulation roles to leading deep learning initiatives at LexisNexis Risk Solutions, Flyreel, and Booz Allen Hamilton, shipping research-backed solutions for text spotting and action recognition. Vu is an active researcher with publications and talks at CVPR and AISTATS, and his GitHub and Google Scholar reflect ongoing open research and reproducible demos. His background in engineering physics and bioengineering gives him a strong foundation in applied math, scientific computing, and modeling that he leverages for robust system design. Beyond production ML, he brings experience securing funding and translating complex technical ideas into operational capabilities for government and industry clients.
10 years of coding experience
8 years of employment as a software developer
University of California, San Diego
Vietnamese
Github Skills (45)
visualization10
open3d10
rendering10
volume-rendering10
cluster-computing10
odometry10
computer-graphics10
cuda10
cpp10
opengl10
mesh-processing10
regularization9
caffe9
pytorch9
semi-supervised-learning9
Programming languages (4)
Github contributions (5)
vuptran/graph-representation-learning
Feb 2018 - Jul 2019
Contributions:8 commits, 7 pushes, 1 branch in 1 year 5 months
vuptran/sesemi
Jun 2019 - Apr 2021
Contributions:11 commits, 10 pushes, 1 branch in 1 year 9 months
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