Wojciech Fedorko
Deputy Department Head, Scientific Computing at TRIUMF
Vancouver, British Columbia, Canada
Summary
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Top SchoolWojciech Fedorko is a scientific computing leader and data scientist with eight years of experience bridging machine learning, high-throughput digital electronics, and experimental particle physics. As Deputy Department Head at TRIUMF he leads ML platform deployment, trains researchers, and launches quantum computing pilots while driving deep-learning projects across nuclear, particle, life-science and accelerator research. He brings rare hands-on expertise in low-latency FPGA firmware—having designed and commissioned >1 Tbps, ~150 ns latency trigger components for ATLAS—and applies modern dynamic-graph deep learning to tasks like top-quark tagging. Comfortable in both leadership and implementation roles, he has coordinated large-scale operations and multi-team analyses at institutions including UChicago, UBC, CERN and Michigan State. Colleagues rely on him to translate cutting-edge ML into production-grade solutions for demanding scientific instrumentation.
7 years of coding experience
10 years of employment as a software developer
Hon. BSc, Physics, Mathematics, Computer Science, Hon. BSc, Physics, Mathematics, Computer Science at University of TorontoDoctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at The University of Chicago
English, Polish
Github Skills (30)
python8
deep-learning8
gpu8
machine-learning8
neural-network6
tensorflow6
variational-autoencoder6
water6
data-format6
h5py6
binary-data5
numpy5
autoencoder5
pythonic5
jupyter-notebook3
Programming languages (5)
Github contributions (5)
triumfmlutils/Container_Base_ML
Apr 2019 - Jun 2021
Contributions:23 releases, 36 pushes, 2 branches in 2 years 1 month
CornerstonesQC/CornerstonesStartup
Jul 2021 - Jul 2021
Contributions:14 commits, 7 pushes in 4 days
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