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.
9 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)
graph-neural-network7
convolution6
imputation6
seq2seq6
graph-convolutional-networks5
graph5
multivariate-timeseries5
python4
replication4
forecasting3
kaggle3
tensorflow3
forecast3
pytorch3
multimodal3
Programming languages (2)
Github contributions (5)
underdoc-wang/STC-GNN
Jan 2020 - Dec 2021
[CIKM'21] Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction
Contributions:23 commits, 21 pushes, 1 branch in 1 year 11 months
graph-neural-networkgraph-neural-networksspatio-temporal-modeling
deepkashiwa/DeepUrbanEvent
Dec 2019 - May 2021
Source Codes for KDD'19 Paper - DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events
Contributions:6 commits, 6 pushes, 3 comments in 1 year 5 months
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