Kyle Bradbury
Assistant Research Professor at Duke University
Raleigh-Durham-Chapel Hill Area United States
Summary
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Senior🎓
Top SchoolKyle Bradbury is an Assistant Research Professor and managing director of Duke’s Energy Data Analytics Lab with 11 years of experience applying machine learning and data science to real-world energy systems challenges. He leads interdisciplinary teams that map global energy infrastructure from satellite imagery, extract device-level insights from smart meter data, and quantify reliability–cost tradeoffs for integrating wind and solar with storage. Trained as an electrical engineer with a PhD in energy systems modeling, he blends rigorous stochastic modeling and signal-processing roots with applied ML to deliver policy-relevant, deployable analytics. He also teaches machine learning and mentors student teams through hands-on programs that span engineering, environment, and public policy, enabling diverse students to do publishable research. A less obvious strength is his track record of building fair evaluation frameworks for energy disaggregation—helping the field compare algorithms robustly across datasets and setups.
11 years of coding experience
6 years of employment as a software developer
Ph.D. Energy Systems Modeling, Ph.D. Energy Systems Modeling at Duke UniversityB.S.E.E. Electrical Engineering, B.S.E.E. Electrical Engineering at Tufts University
Github Skills (14)
duke10
masters10
science7
spring7
machine-learning7
deep-learning6
data-science6
vscode5
vscode-extension5
energy5
jupyter4
javascript3
python2
jupyter-extension1
Programming languages (3)
Github contributions (5)
kylebradbury/ids705_sp2019
Jan 2019 - Jan 2020
Principles of Machine Learning
Contributions:72 commits, 67 pushes, 1 branch in 1 year
deep-learningprinciplesmachine-learningdata-science
kylebradbury/ids705_sp2021
Dec 2021 - Apr 2022
Principles of Machine Learning (IDS705, Spring 2021). Masters of Interdisciplinary Data Science. Duke University
Contributions:69 commits, 62 pushes, 1 branch in 4 months
principlesmastersscienceinterdisciplinarydata-science
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