Jinsol Park

Jinsol Park is a machine learning engineer on the RAPIDS team at NVIDIA, where she develops scalable GPU-accelerated algorithms for machine learning and vector search. She holds a master’s degree in Computer Science from Carnegie Mellon University, where she specialized in machine learning systems and parallel computing.
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Posts by Jinsol Park

Data Science Aug 18, 2026

Run Massive-Scale UMAP in Minutes Using Multiple GPUs—Without Losing Accuracy

Uniform Manifold Approximation and Projection (UMAP) is a dimensionality reduction technique widely used for visualization and feature extraction. Applications... 11 MIN READ
Data Science Oct 31, 2024

Even Faster and More Scalable UMAP on the GPU with NVIDIA cuML

UMAP is a popular dimension reduction algorithm used in fields like bioinformatics, NLP topic modeling, and ML preprocessing. It works by creating a k-nearest... 12 MIN READ