Christopher Brooks
Department of Computer Science
University of California San Francisco
About Professor Christopher Brooks
At the University of San Francisco, a premier Jesuit institution renowned for its commitment to social justice and academic excellence, the Department of Computer Science provides a dynamic and collaborative environment for cutting-edge research. The department is recognized for its strong focus on human-centered computing and its integration of ethical considerations into technical education. This unique academic setting, which emphasizes both innovation and societal impact, fosters the work of distinguished faculty like Professor Christopher Brooks, who holds a joint appointment in Computer Science and Engineering. His presence underscores the department's strength in interdisciplinary research that addresses complex modern challenges.
🧬Research Focus
Professor Brooks’s research portfolio sits at the forefront of artificial intelligence and machine learning, with a specialized focus on multiagent systems and human–AI interaction. He investigates how human and computational agents learn in shared environments, a critical area for developing cooperative AI and robust autonomous systems. His work has significant real-world applications in fields like adaptive educational technology, collaborative robotics, and fair algorithmic decision-making. A defining and innovative aspect of his scholarship is the deliberate bridge between technical AI research and the domains of computing and social justice, as well as AI pedagogy, exploring how these systems can be designed and taught to promote equity and address structural inequalities.
🎓Student Fit & Career
Graduate students, particularly PhD candidates, seeking to work at the intersection of advanced technical research and profound societal questions will find an ideal mentor in Professor Brooks. Students with a strong background in computer science fundamentals, an interest in machine learning or multiagent systems, and a passion for human-centered design or educational innovation are well-suited for his lab. This academic mentorship prepares students for diverse career paths, from leading research roles in industry AI labs to academic positions where they can shape the future of inclusive computer science education. His supervisory style cultivates researchers who are not only technically proficient but also ethically engaged scholars.
Research Areas
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