Paul Albee
Principal Research Engineer at TED AI
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolPaul Albee is a Principal Research Engineer based in Seattle with 11 years of industry experience applying machine learning to mission-driven problems across philanthropy, health, and public good initiatives. He blends deep academic training (PhD in Computer Science) with hands-on leadership at AI2 and Vulcan, guiding teams from research prototypes to production-grade systems. Paul has a track record of aligning open-source AI efforts with global impact—serving on TED AI and KubeCon hackathon programs to tackle sustainability and social challenges. Known for bridging rigorous analytics and secure, practical software, he previously led ML engineering and research teams that delivered data-driven decision tools for healthcare and nonprofits. A former professor and long-time researcher in volumetric data analysis, he brings both pedagogical clarity and systems-level engineering to complex interdisciplinary problems.
11 years of coding experience
18 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Trine UniversityMaster of Science, Computer Science, Master of Science, Computer Science at Bowling Green State UniversityPhD, Computer Science, PhD, Computer Science at Michigan State University
English
Github Skills (34)
imagej10
capistrano6
python6
pcf5
opc4
servicenow4
netmiko4
pythonic4
napalm4
surface4
twine4
photogrammetry4
debian-packaging3
infiniband3
warehouse3
Programming languages (6)
Github contributions (5)
allenai/AMPT
Jan 2021 - Dec 2022
Aquatic Mammal Photogrammetry Tool
Contributions:10 releases, 18 reviews, 458 commits in 1 year 11 months
pythonaquaticphotogrammetry
palbee/caniverse
Apr 2016 - Jan 2017
Contributions:108 commits, 28 pushes, 1 branch in 9 months
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