Liang Xu
Principal Scientist at Chenuix
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolLiang Xu is a Principal Scientist with over a decade of experience applying machine learning and big-data algorithms to remote sensing for forest biomass, vegetation dynamics, and carbon accounting. He has led research and production efforts across academia, NASA JPL, and industry—developing out-of-core geospatial pipelines, multi-scale Lidar/Radar fusion methods, and semi-empirical biomass retrievals that blend physics-based radiative transfer with global optimization. His work spans satellite to field data, from unbiased national forest inventories in the Congo to Amazon secondary-forest classification and fire emissions modeling using convolutional time-series approaches. Based in Palo Alto, Liang combines rigorous PhD-level research with product-facing roles at Pachama and now Chenuix, bringing both scientific depth and practical deployment experience. A less obvious strength is his sustained focus on scalable algorithms for multi-spatial, multi-temporal datasets, enabling repeatable large-area ecological monitoring rather than only localized studies.
10 years of coding experience
14 years of employment as a software developer
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at Fudan UniversityDoctor of Philosophy (Ph.D.), Geography, Doctor of Philosophy (Ph.D.), Geography at Boston University
English, Chinese
Github Skills (41)
stem9
addon8
plot8
world-of-warcraft8
draw8
discord7
continuity6
backport6
trigger6
biomart6
r-shinylive6
data-analysis5
meta-analysis5
airpods5
lua5
Programming languages (7)
Github contributions (5)
xl0418/ggradar2
Dec 2018 - Aug 2022
ggradar2 is a gg-function to draw a radar plot for data analysis. It is stem from ggradar but has been extended with new features.
Contributions:87 commits, 11 PRs, 73 pushes in 3 years 9 months
stemdata-analysisradarextendeddraw
xl0418/leetcodeexercises
Mar 2019 - May 2024
Contributions:12 pushes in 5 years 3 months
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