Tin Vu is an Applied Scientist at Microsoft with a PhD in Computer Science and 12 years of experience building ML-driven data and big spatial data management systems. He researches and engineers practical solutions that apply deep learning to spatial partitioning, query optimization, and indexing, bridging academic rigor with production-scale implementation. His background spans academia and industry—from leading spatial database research at UC Riverside to building high-traffic game database systems and internships at Microsoft AI & Research and Esri. Tin pairs strong algorithmic foundations (taught data structures and algorithms courses) with hands-on systems experience, and brings a knack for turning spatial ML ideas into scalable data-management features. A less obvious strength is his early work in EEG-based emotion detection, showing breadth across signal processing, ML, and systems engineering.
12 years of coding experience
9 years of employment as a software developer
Undergraduate, Computer Science, Undergraduate, Computer Science at Hanoi University of Science and Technology
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of California, Riverside
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