Dan Gifford
Principal Scientist at Getty Images
Edmonds, Washington, United States
Summary
👤
Senior🎓
Top SchoolDan Gifford is a Principal Scientist at Getty Images with 13 years of experience applying AI, statistical modeling, and large-scale data engineering to transform messy observational data into production-ready insights. With a Ph.D. in Astronomy from the University of Michigan, he blends rigorous Bayesian and MCMC-based inference techniques from astrophysics with practical machine learning and data-science pipelines used in industry. At Getty Images he progressed from Data Scientist to Principal Scientist, driving applied research that bridges research-quality methods and product needs. He built an open-source telescope-data reduction package during graduate school and routinely leveraged high-performance computing for parallel statistical studies, demonstrating both production and research cred. Based in Edmonds, Washington, he excels at turning complex, noisy datasets into actionable models that scale.
12 years of coding experience
10 years of employment as a software developer
Ph.D, Astronomy, Ph.D, Astronomy at University of MichiganBS, Physics, BS, Physics at Western Washington University
Github Skills (16)
face-detection10
facial-recognition10
face-recognition10
python9
machine-learning9
api9
computer-vision8
dlib8
deep-learning6
data-science4
data-analysis4
single-file3
jupyter2
cyclegan2
jupyter-notebook2
Programming languages (2)
Github contributions (5)
giffordw/CausticMass
Jun 2013 - Jun 2015
Contributions:118 commits, 24 pushes in 2 years
giffordw/OSMOSreduce
Jan 2015 - Oct 2015
Contributions:2 PRs, 18 pushes, 3 branches in 8 months
reductionspectramdm
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