Understanding the hidden layers of artificial intelligence, one model at a time.

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I'm a computer scientist working at the intersection of deep learning systems, interpretability, and the philosophy of mind. My PhD at Tufts focused on spatial agent-based models across different scales. I now build and train large-scale neural networks, and I think and write about what it means for them to have representations, intentions, and perhaps something like experience.


Latest Posts

05 May 2025 - How GPUs Communicate: Fundamentals of Distributed Training with PyTorch