Yuchen Dai
Research Assistant at The University of North Carolina at Chapel Hill
Chapel Hill, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolYuchen Dai is a machine learning engineer and urban planner with a decade of experience applying GIS, remote sensing, and data science to urban and resource planning problems. He combines advanced spatial analysis skills (ArcGIS Pro, ENVI, QGIS) with programming expertise in Java, Python/ArcPy, and R to build reproducible workflows—ranging from 3D geological models for coal resource optimization to city-scale dashboards for smart-city benchmarking. Currently pursuing a Master’s in Urban Planning at Columbia, he has supported academic and government projects across China, Brazil, and the U.S., translating complex spatial data into actionable metrics and web-based map resources. Notably, he programs sensors for long-term data collection and automates geospatial pipelines, a hands-on capability that bridges field data acquisition and machine learning analysis. Bilingual in Mandarin and English, he brings both rigorous research experience from institutions like the Chinese Academy of Sciences and practical planning delivery for municipalities.
11 years of coding experience
Doctor of Philosophy - PhD City/Urban, Community and Regional Planning, Doctor of Philosophy - PhD City/Urban, Community and Regional Planning at The University of North Carolina at Chapel HillMaster's degree City/Urban, Community and Regional Planning, Master's degree City/Urban, Community and Regional Planning at Columbia UniversityBachelor of Arts - BA City/Urban, Community and Regional Planning, Bachelor of Arts - BA City/Urban, Community and Regional Planning at Miami University
English, Chinese, Japanese, German, Korean
Github Skills (57)
javascript10
dataflow10
python10
mxnet10
go10
julia10
scala9
mobile9
deep-learning9
object-detection8
foundation-models8
tensorflow8
multibox8
machine-learning8
semantic-segmentation8
Programming languages (5)
Github contributions (5)
xinghedyc/mxnet-cnn-lstm-ctc-ocr
May 2017 - Oct 2017
This repo contains code written by MXNet for ocr tasks, which uses an cnn-lstm-ctc architecture to do text recognition.
Contributions:9 commits, 8 pushes, 1 branch in 5 months
lstmmxnetocrtext-recognitioncnn
xinghedyc/mxnet
Dec 2016 - Feb 2017
Contributions:18 pushes in 2 months
pythonschedulerdataflowmutationdata-science
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