Professor Mark W. Jones is a data scientist with areas of expertise in photon mapping, ray tracing, global illumination, visualization, kernel density estimation, accelerometry data, Machine Learning, lossless data compression, transfer functions, probability density functions, clustering, Monte-Carlo techniques, statistics, GPU acceleration, distance measures, Lloyd’s relaxation, Voronoi diagrams, vector/chamfer distances, volume rendering, data structures (kd-trees).

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