Apr 21, 2021 · Luna has a Ph.D. in development economics from UC Berkeley, and used to be a doctoral fellow at the Global Policy Lab. Luna has published in top academic journals like Nature and Annual Review of Economics.

Dr. Luna Yue Huang earned a B.S in Materials Science and Engineering from Tsinghua University, Beijing in 2000 and a Ph.D. in Materials Science and Engineering and Nanotechnology from the University of Washington, Seattle in 2006.

‪Data Scientist @ Waymo‬ - ‪‪Cited by 1,944‬‬ - ‪economics‬ - ‪data science‬ - ‪development economics‬ - ‪machine learning‬

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Ingested, harmonized, and feature-engineered over 150 billion raw data records in 22 disparate datasets from Google internal and external sources (with Python & SQL). Initiated and pursued data partnership with 4 internal teams, and 2 external companies.

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Designed a hybrid log-block mapping scheme to translate read/write requests on logical blocks into low-level operations on SSDs, and garbage collection policies such as LRU and Cost-Benefit proposed in log-structured file system.

Research Publication The Effect of Large-scale Anti-contagion Policies on the COVID-19 Pandemic, Nature, 584: 262-267, 2020 (joint with Solomon Hsiang, Daniel Allen, Sébastien Annan-Phan, Kendon Bell, Ian Bolliger, Trinetta Chong, Hannah Druckenmiller, Andrew Hultgren, Emma Krasovich, Peiley Lau, Jaecheol Lee, Esther Rolf, Jeanette Tseng, and Tiffany Wu). → project page Using Randomized ...

Luna Yue Huang's 5 research works with 1,388 citations and 3,050 reads, including: Using Satellite Imagery and Deep Learning to Evaluate the Impact of Anti-Poverty Programs

Here we provide the first evidence that we can conduct such program evaluations based solely on high-resolution satellite imagery and deep learning methods. Our application estimates changes in household welfare in a recent anti-poverty program in rural Kenya.