Andrew Trask

Andrew Trask is a computer scientist and researcher known for his work in privacy-preserving machine learning. He develops ways for algorithms to learn from data without exposing sensitive information, allowing individuals to keep their private data secure while still benefiting from data analysis. His efforts focus on creating technologies that enable secure collaboration and data sharing without compromising privacy, contributing to safer and more trustworthy AI applications. He is also an educator, authoring resources to help others understand and develop privacy-focused AI techniques.