Zhaonan Wang
Assistant Professor at NYU Shanghai
Shanghai, Shanghai, China
Summary
👤
Senior🎓
Top SchoolZhaonan Wang is an urban data scientist and Assistant Professor at NYU Shanghai with nine years of experience developing robust AI methods for spatial, temporal, and multimodal urban data. His interdisciplinary training—PhD in Spatial Information Science from the University of Tokyo, plus degrees from Peking University and Boston University—supports a track record spanning academia, government research labs, and applied GIS/solutions engineering. He builds practical, research-driven tools that address real-world urban problems, informed by postdoctoral work at UIUC and R&D roles at AIST. Zhaonan actively recruits self-motivated PhD students and brings a global perspective from studies and positions across China, Japan, and the U.S., blending deep methodological rigor with deployment-minded experience.
8 years of coding experience
4 years of employment as a software developer
University of TokyoBachelor of Science - BS, Geographic Information Systems, Bachelor of Science - BS, Geographic Information Systems at Peking UniversityMiddle-High School, Natural Sciences, Middle-High School, Natural Sciences at Beijing National Day SchoolMaster’s Degree, City Planning, Master’s Degree, City Planning at Boston University
English, Chinese, Japanese
Github Skills (21)
imputation7
forecast5
wikipedia5
web-traffic5
recurrent5
python4
traffic4
forecasting3
kaggle3
tensorflow3
spatial3
temporal3
machine-learning3
seq2seq2
time-series2
Programming languages (2)
Github contributions (5)
underdoc-wang/demo_LBJ19
Dec 2019 - Jan 2020
Contributions:8 commits, 7 pushes, 1 branch in 22 days
deepkashiwa/DeepUrbanEvent
Dec 2019 - May 2021
Contributions:6 commits, 6 pushes, 3 comments in 1 year 5 months
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