Stanislav Fort is a founder and chief scientist based in San Francisco who builds and probes massive multi-modal neural networks to make them more capable and interpretable. With 11 years of experience bridging deep research and product-focused model engineering, he has held research roles at DeepMind, Anthropic, Stability AI, and Google, and now leads AISLE™. Trained as a theoretical nuclear physicist with advanced degrees from Cambridge and Stanford, he brings rigorous mathematical thinking to practical problems in large models and safety. His background as an AI resident at Google and leadership on large language model teams gives him a rare blend of production ML experience and foundational theory, often exploring not-obvious intersections between physics intuition and model architectures.
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