Summary
David 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
The University of Hong Kong (HKU)
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of California, Riverside
International Baccalaureate, IGCSE, International Baccalaureate, IGCSE at Yew Chung International School
English, Chinese, Chinese