Brenden Kadota
Assistant Specialist at University of California, San Francisco
California, United States
Summary
👤
Senior🎓
Top SchoolBrenden Kadota is a medical imaging researcher and software engineer with nine years of experience applying deep learning, CUDA acceleration, and simulation to speed up MRI workflows. He developed recurrent neural networks that cut scan times up to 8x and built CUDA-optimized quantum-mechanic simulations that achieved 20x speedups, alongside open-source pipelines that replaced expensive commercial tools. Currently an Assistant Specialist at UCSF and pursuing a Master’s in Medical Biophysics, he bridges wet-lab insight from early genetic-circuit work with strong systems-level engineering. Brenden excels at turning research prototypes into cost- and time-saving tools for clinical imaging, and often combines techniques from video compression and time-series modeling in non-obvious ways to accelerate exams.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS Medical Biophysics, Master of Science - MS Medical Biophysics at University of TorontoBachelor of Science - BS Honours Computer Science and Biology, Bachelor of Science - BS Honours Computer Science and Biology at McGill University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (18)
simulation10
python10
data-science10
statistics10
machine-learning10
scikit-learn10
data-analysis10
rna-seq6
ai5
deep-learning5
artificial-intelligence5
pytorch5
pretrain2
mri2
css1
Programming languages (4)
Github contributions (5)
ChrisThe2nd/mapVBVD
Jun 2017 - Oct 2020
Contributions:3 commits in 3 years 5 months
brendo-k/mri_machine_learning_reconstruction
Feb 2023 - Mar 2026
Contributions:605 pushes, 3 branches in 3 years 1 month
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