David Yu
CVP, Geospatial Data Science Lead
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolDavid Yu is a geospatial data science leader with a decade of experience applying deep learning, generative modeling, and big-data analytics to real-world GIS problems. Currently CVP and Lead Data Scientist at New York Life after senior roles at Esri, he has driven adoption of multi-modal feature extraction from imagery, point clouds, meshes and video while advancing context-based weak-label learning and GAN-driven 3D texturization. Comfortable bridging research and production, he has implemented scalable Spark pipelines, Transformer- and CNN-based models, and GPU-optimized scientific code dating back to CUDA work in quantum chemistry. A practical technologist with a record of shipping prototypes to production, he combines academic rigor from UC Riverside and HKU with product-focused impact across insurance and geospatial software.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of California, RiversideThe University of Hong Kong (HKU)International Baccalaureate IGCSE, International Baccalaureate IGCSE at Yew Chung International School
English, Chinese, Chinese
Github Skills (14)
3d-reconstruction7
generative-model7
3d6
dcgan6
generative-adversarial-network5
3d-graphics5
machine-learning5
pytorch5
computer-vision5
deep-learning4
photogrammetry4
tensorflow4
collaboration2
autoencoder2
Programming languages (2)
Github contributions (5)
MrDavidYu/TF_Convolutional_Autoencoder
Jul 2018 - Jul 2018
Contributions:42 commits, 40 pushes, 1 branch in 2 days
MrDavidYu/IagoBot
Oct 2016 - Mar 2017
Contributions:5 commits, 4 pushes, 1 branch in 5 months
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