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    Christopher Kanan

    Professor - Director of AI Science

    Professional Background

    Chris Kanan is a luminary in the field of artificial intelligence, serving as the Director of AI Science at Paige. In this pivotal role, he oversees the design and planning of advanced deep learning systems aimed at enhancing cancer diagnostics. Chris's commitment to leveraging technology for impactful healthcare solutions demonstrates his dedication to combining innovation with meaningful outcomes.

    In addition to his corporate role at Paige, Chris is deeply involved in academia as a tenured professor at the Rochester Institute of Technology (RIT). At RIT, he directs a cutting-edge machine learning lab that is at the frontline of research towards achieving artificial general intelligence. The focus of his lab encompasses vital subjects such as continual learning in neural networks, overcoming dataset bias, and the development of goal-directed perception systems. His lab's pioneering work in these areas is not just theoretical; it is grounded in practical applications that draw inspiration from cognitive science, reflecting Chris's comprehensive approach to AI research.

    Chris's influence extends to the academic community through his role as an instructor at Cornell Tech, where he imparts knowledge on deep learning, empowering the next generation of AI practitioners and researchers with essential skills and insights. His teaching fosters an environment of inquiry and innovation, equipping students to contribute meaningfully to the rapidly evolving domain of artificial intelligence.

    Education and Achievements

    Chris Kanan's academic journey is notable for its depth and rigor. He commenced his studies at Oklahoma State University, where he earned a Bachelor of Science degree that uniquely combined Computer Science and Philosophy. This interdisciplinary foundation has undoubtedly contributed to his ability to think critically about complex AI challenges and the ethical implications surrounding technology.

    He then advanced his expertise by obtaining a Master of Science in Computer Science at the University of Southern California, followed by a Ph.D. in Computer Science from the prestigious University of California, San Diego. These formidable academic credentials have equipped Chris with a comprehensive understanding of AI and computer science, enabling him to contribute significantly to both research and practical applications.

    Notable Achievements

    During his expansive career, Chris has held a variety of esteemed positions in both academic and corporate environments. Before his current role at Paige, he served as Associate Director of the Center for Human-Aware Artificial Intelligence (CHAI) at RIT, where he focused on ensuring AI systems are designed with human considerations at the forefront.

    In previous roles, Chris has contributed to significant advancements in AI while working as a Senior AI Scientist at Paige, as well as in various research capacities at NASA's Jet Propulsion Laboratory (JPL) and the California Institute of Technology (Caltech) as a Postdoctoral Scholar. His experience in these high-profile organizations showcases his versatility and the trust that leading institutions have placed in his expertise.

    His commitment to advancing AI is further demonstrated through his extensive publication record, reflecting his contributions to the ongoing discourse in the field of machine learning and artificial intelligence. For those interested in deepening their understanding of his work, Chris maintains a comprehensive online presence where his lab and research details, as well as his publications and patents, are accessible for further exploration.

    A Vision for the Future

    Chris Kanan's pioneering efforts in AI signal a transformative approach to both technology and healthcare. By merging his rigorous academic background with a commitment to ethical AI practices, he is not only shaping the future of artificial intelligence but also setting a standard for how AI can be harnessed for the betterment of society. Whether in a classroom, a research lab, or a corporate setting, Chris Kanan continues to be a driving force in the quest to unlock the full potential of artificial intelligence.

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    Highlights

    Jul 19 · Nature.com
    Genomic epidemiology of SARS-CoV-2 in a university outbreak setting and implications for public health planning | Scientific Reports - Nature.com
    Jul 19 · Nature.com
    Genomic epidemiology of SARS-CoV-2 in a university outbreak setting and implications for public health planning | Scientific Reports - Nature.com
    Genomic epidemiology of SARS-CoV-2 in a university outbreak setting and implications for public heal
    Christopher Kanan
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    Location

    Rochester, New York Metropolitan Area