Kazuhiro Terao
Senior Staff Scientist at SLAC National Accelerator Laboratory
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolKazuhiro Terao is a Senior Staff Scientist and particle physics experimentalist with 11 years' experience applying AI and deep learning to neutrino physics, leading ML/DL R&D for LArTPC reconstruction across SBN and DUNE. Based at SLAC and adjunct at Colorado State, he manages multiple DOE-funded projects and has spearheaded the first convolutional neural network analyses on MicroBooNE data, developing production-grade tools and data pipelines used by the community. He builds cross-disciplinary collaborations spanning cosmology to fusion and organizes the deeplearnphysics R&D network to translate large experimental datasets into robust inference machines. Known for combining hands-on software and detector expertise—ranging from C++ frameworks and SQL-based production systems to online trigger software—he emphasizes reproducible, scalable ML workflows for high-quality oscillation measurements. Outside the lab he’s an avid hiker who often integrates team-building with field work.
11 years of coding experience
17 years of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at University of California, BerkeleyDoctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Massachusetts Institute of Technology
English, Japanese
Github Skills (54)
travis-ci10
redmine10
surface10
image-processing9
argon9
tpc9
cpp8
monte-carlo8
python8
computer-graphics8
detectors8
neutrino8
simulation8
particle-physics7
liquid7
Programming languages (6)
Github contributions (5)
DeepLearnPhysics/edep2supera
Feb 2022 - Aug 2024
Contributions:11 PRs, 15 pushes, 2 branches in 2 years 6 months
drinkingkazu/lartpc_mlreco3d
Jun 2019 - Jan 2021
Contributions:78 pushes, 6 branches in 1 year 7 months
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