Federico Bolanos
Lead Data Scientist
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolFederico Bolanos is a Lead Data Scientist based in Vancouver with 11 years of multidisciplinary experience bridging machine learning, computer vision, neuroscience, and embedded systems. With a PhD from The University of Tokyo and research roles at RIKEN and UBC, he specializes in turning complex neuroscience datasets into actionable insights while mentoring graduate students and managing multi-lab projects. He is proficient in PyTorch, TensorFlow, OpenCV, Python/R data stacks, and cloud-native tooling (AWS, Docker), and also contributes practical hardware and experimental-rig designs using Raspberry Pi and CAD/3D printing. Federico’s work is distinguished by a strong publication record and invited talks, reflecting a rare blend of rigorous academic research and hands-on engineering that accelerates reproducible science.
11 years of coding experience
5 years of employment as a software developer
University of TokyoMaster of Science - MS, Neuroscience, Master of Science - MS, Neuroscience at The University of British Columbia
Github Skills (26)
python9
machine-learning9
tensorflow9
deep-learning9
raspberry8
neural-network8
data-science8
ml7
deep-neural-networks7
microscopy5
robust5
raspberry-pi5
ingame5
neuroscience5
imaging5
Programming languages (4)
Github contributions (5)
fbolanos/LS7366R
Feb 2017 - Nov 2021
A simple python library to interface the Raspberry Pi with the LS7366R IC.
Contributions:5 commits, 1 PR, 6 pushes in 4 years 9 months
python-libraryraspberry-pipythonraspberry
fbolanos/swdb_2017_tools
Aug 2017 - Sep 2017
Contributions:6 pushes in 11 days
brainpythonworkshopmachine-learningparticipants
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