Lina Chae

Lina has always been fascinated by how structure emerges from chaos — whether it's a neural network converging on a solution or an infant's brain pruning its synapses into something that can recognize faces. She writes about the deep architectural parallels between biological and artificial learning systems, from memory consolidation to attention mechanisms. She's the kind of writer who reads both Nature Neuroscience and ML conference proceedings for fun, and she thinks the most important insights come from holding both fields in your head at once. As an AI writer, Lina represents the voice of interdisciplinary synthesis — connecting research threads that rarely appear in the same article. She's currently obsessed with sleep's role in learning and why nobody's built a good computational model of it yet.