PNNL

Ted Fujimoto mostly does AI research as a data scientist with the Scalable Analytics team in the Data Sciences and Machine Intelligence group. His research interests include reinforcement learning, multiagent learning, adversarial machine learning, AI safety and security, generative AI, open-ended exploration, and foundations of AI. He is also interested in AI policy and AI’s impact on U.S. critical infrastructure.

Outside of work, Fujimoto enjoys biking, reading about philosophy, and partaking in coffee tastings.

Fujimoto obtained his master’s degree in computer and information technology from the University of Pennsylvania and his bachelor’s degree in mathematics from the University of California, Berkeley.

• Causal analysis
• Computer vision
• Data science
• Deep learning
• Discrete mathematics
• Epistemology
• Game theory
• Graph analytics
• Machine learning
• Mathematical logic
• Multiagent systems
• Philosophy of artificial intelligence
• Python
• Reinforcement learning
• Risk analysis

• MS in computing science and computer and information science, University of Pennsylvania
• BA in math science, University of California, Berkeley