Trevor Howarth is the Director of Machine Learning for the Public Sector at Scale AI, where he leads the development and deployment of agentic AI for government applications. A graduate of Stanford University with both a Masters and Bachelors degree, he has a strong background in computer vision, mathematics, and software development.
He has co-authored recent research papers on measuring diplomatic preferences and biases in large language models, highlighting his focus on the real-world application and implications of AI in high-stakes national security environments.
While at Stanford, he won the Centennial Teaching Award for his outstanding performance as a teaching assistant in the Physics department.
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