Forrest N. Iandola is an American computer scientist specializing in efficient AI.
Iandola earned a PhD in Electrical Engineering and Computer Science from UC Berkeley in 2016, advised by Kurt Keutzer. As part of his dissertation he co-authored SqueezeNet, a deep neural network for image classification that is optimized for smartphones and other mobile devices.[1][2]
Iandola and Keutzer went on to co-found DeepScale. The firm squeezes deep neural networks onto low-cost automotive grade processors for use in driver assistance systems. Tesla acquired DeepScale in 2019.[3][4]
In 2020, he co-authored SqueezeBERT, an efficient neural network for natural language processing.[5] In 2022, he joined Meta as an AI research scientist.[6][7] His research at Meta includes the efficient AI models EfficientSAM and MobileLLM.[8][9]
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