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Richard Francis is a distinguished figure in the field of Artificial Intelligence, currently serving as a Director of AI at Google. With a strong background in machine learning research and development, he focuses on areas such as large language models, reinforcement learning, and the ethical application of AI. His work involves leading high-performing teams to push the boundaries of AI, developing innovative solutions, and contributing significantly to Google's overall AI strategy and product development. He is recognized for his deep expertise in advanced machine learning algorithms and his ability to translate complex research into impactful real-world applications.
Richard Francis's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
As a Director of AI at Google, he spearheads high-impact projects and multidisciplinary teams, significantly contributing to the advancement and strategic application of cutting-edge artificial intelligence technologies within the company and for its global user base.
Throughout his career, Richard has made substantial contributions to influential research in machine learning, with publications in top-tier conferences and journals. His work has helped to shape the direction of key AI subfields, particularly in areas related to scalable and robust AI systems.
Actively involved in promoting responsible AI development, contributing to frameworks and best practices that ensure AI technologies are developed and deployed ethically, safely, and for the benefit of society.
Frequently invited to speak at major AI conferences and industry events, sharing insights on the future of artificial intelligence, machine learning breakthroughs, and the societal implications of AI.
The Johns Hopkins University - Carey Business School - Year 2021
Penn State University - Year 2014
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Ontada, a McKesson business, is an oncology technology and insights company. It focuses on transforming cancer care by providing real-world data, evidence-based solutions, and research insights to community oncology practices, life sciences companies, and payers to improve patient outcomes and accelerate drug development.
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