Co-creator of mlx-graphs, GNNs on Apple silicon
Postdoctoral fellow · current
Tristan co-built mlx-graphs so graph neural networks can train on a Mac's unified memory at up to 10x the speed of other frameworks, and his MLX benchmark articles gave the community its first rigorous performance picture. Research-quality work, shared openly.
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