Andrew TraskSpeaker and Booking Agent Information

Andrew Trask is a Senior Research Scientist at DeepMind and a PhD student at the University of Oxford, specializing in privacy-preserving artificial intelligence (AI). He founded and led OpenMined, an open-source community of over 12,000 researchers and engineers dedicated to advancing privacy-focused AI technologies, such as federated learning, differential privacy, and secure multi-party computation. These methods enable AI models to be trained on encrypted or sensitive data without compromising privacy with healthcare, finance, and government intelligence applications. A sought-after speaker, he simplifies complex AI concepts for diverse audiences.

He authored “Grokking Deep Learning (2019), a bestselling book that demystifies neural networks using Python and NumPy, selling over 10,000 copies. Trask also teaches in Udacity’s Deep Learning Nanodegree program and runs the popular blog “I Am Trask.” Previously, at Digital Reasoning, he trained the world’s largest artificial neural network with 160 billion parameters and presented findings at the International Conference on Machine Learning. His research, cited over 5,500 times, spans deep learning, natural language processing, and privacy technologies.

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