Morten is co-founder and research scientist at Dropout Labs, a startup building a platform for secure, privacy-preserving machine learning to manage the sensitive, competitive, and regulatory nature of data. He is also lead developer on tf-encrypted, an open source project for integrating and experimenting with privacy-preserving machine learning directly in TensorFlow. With a background in cryptography and privacy, Morten has spent recent years applying and adapting techniques from these fields to machine learning, focusing on practical tools and concrete applications in hope of making the field more accessible to practitioners.
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