Brendan Folie
Senior Software Engineer at Waymo
Berkeley, California, United States
Summary
🤩
Rockstar🎓
Top SchoolBrendan Folie is a Senior Software Engineer and physicist with eight years of experience applying machine learning, simulation, and rigorous quantitative thinking to materials, batteries, and ML tooling. He has driven product-facing research at Citrine and Liminal—building scalable training pipelines, factory-scale data tooling, and novel algorithms for battery uniformity and high-quality embeddings—before joining Google to advance PyTorch adoption internally. Comfortable with both hands-on experimental work and production software, he combines expertise in applied mathematics, physics-derived modeling, and engineering to turn complex physical-science problems into deployable ML solutions. Based in Berkeley, he’s particularly drawn to renewable energy and sustainability work and has a track record of scaling models to terabyte-sized datasets and cutting model deployment time from days to minutes.
8 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at University of California, BerkeleyBachelor of Science - BS Physics, Bachelor of Science - BS Physics at Harvey Mudd College
Github Skills (25)
pytorch10
classification10
machine-learning-algorithms10
regression10
deep-learning10
xla10
uncertainty10
random-forest10
compiler9
python8
materials-informatics8
tpu8
machine-learning7
gpu7
scientific-machine-learning7
Programming languages (4)
Github contributions (5)
CitrineInformatics/smlb
Sep 2020 - Jun 2022
Scientific Machine Learning Benchmark (smlb)
Contributions:5 releases, 50 reviews, 141 commits in 1 year 10 months
scientific-machine-learning
CitrineInformatics/sprandom
Sep 2022 - Aug 2023
A splittable, serializable psuedorandom number generator in Scala.
Contributions:12 releases, 2 reviews, 11 PRs in 11 months
scalaserializable
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