Pedro Sequeira is a senior computer scientist with nearly two decades focused on AI, specializing in reinforcement learning, human-agent teaming, and generative models that enable adaptive, explainable autonomous systems. Based in the San Francisco Bay Area, he leads research and development at SRI International, driving DARPA-funded projects like KMASS and IR&D efforts such as ToMCAT and LLEARNER to build agents that anticipate and collaborate with humans. His PhD from Instituto Superior Técnico underpins pioneering work in socio-emotional reward design and Theory-of-Mind reasoning for agents, bridging technical rigor with human-centered design. Pedro blends theoretical advances with practical deployment, accelerating policy learning while ensuring personalized, trustworthy interactions through user modeling and affective computing. He has taught reinforcement learning and held research roles across academia and industry, from USC’s Computational Emotion Group to Northeastern University, reflecting a long-standing commitment to translating cognitive insights into working systems. An often-overlooked strength is his focus on aligning generative AI with how people learn and decide, enabling machines that not only perform but adapt to human expertise and preferences.
9 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Instituto Superior Técnico
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