Luna Huang
Staff Data Scientist
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolLuna Huang is a Staff Data Scientist based in Berkeley with nine years of experience at the intersection of economics, AI, and autonomous systems, currently leading data-driven initiatives at Waymo. Trained as a Ph.D. candidate in development economics at UC Berkeley and a Peking University graduate in economics and environmental sciences, she translates rigorous causal inference and econometric thinking into production ML for self-driving technology. Her trajectory from AI Residency at X to successive data science roles at Waymo reflects rapid progression from research prototyping to operationalizing large-scale vehicle datasets. Comfortable bridging academic depth and engineering delivery, she brings a habit of asking policy-minded questions about model impacts that help surface non-obvious safety and equity considerations in autonomy.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Development Economics, Doctor of Philosophy - PhD Development Economics at University of California, BerkeleyBachelor's degree Economics Environmental Sciences, Bachelor's degree Economics Environmental Sciences at Peking University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (20)
unet-image-segmentation10
satellite-imagery9
imagery9
satellite9
computer-vision7
object-detection7
deep-learning6
machine-learning6
datasets5
simplex3
python2
jupyterlab-extension2
text-files2
jupyterlab1
pytorch1
Programming languages (4)
Github contributions (5)
luna983/air-quality-machine-learning
Mar 2019 - Aug 2020
Contributions:1 release, 12 commits, 9 pushes in 1 year 5 months
luna983/beyond-nightlight
Jun 2019 - Dec 2021
Using Satellite Imagery and Deep Learning to Evaluate the Impact of Anti-Poverty Programs
Contributions:10 releases, 261 commits, 8 PRs in 2 years 6 months
satellite-imageryantievaluatedeep-learningsatellite
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