Hannah Fry is an acclaimed British mathematician, author, and broadcaster renowned for her ability to make complex subjects accessible and engaging. A leading voice in artificial intelligence (AI), she has become a trusted expert on how algorithms and data-driven systems shape modern society. Her unique approach to bridging human understanding and technology has made her a sought-after keynote speaker at global events.
Hannah’s academic journey began at University College London (UCL), where she earned her PhD in fluid dynamics and later became Professor of the Mathematics of Cities. In January 2025, she joined the University of Cambridge as its inaugural Professor of the Public Understanding of Mathematics, a position created to enhance public engagement with mathematics and AI. Her academic work focuses on the ethical implications and societal applications of AI, with an emphasis on its transformative potential across industries.
Beyond academia, Hannah has reached millions worldwide through her impactful media presence. She is the bestselling author of Hello World: How to Be Human in the Age of Algorithms, which explores AI’s influence on decision-making and ethics. As a BBC presenter, she has fronted acclaimed series such as The Secret Genius of Modern Life and The Joy of Data, which delve into the hidden algorithms shaping daily life. Her TED Talk, The Mathematics of Love, has been viewed over 5 million times, further cementing her reputation as a leading science communicator.
As a keynote speaker, Hannah captivates audiences with her ability to translate complex AI concepts into engaging, relatable narratives. Her talks cover topics like AI ethics, the future of machine learning, and the societal impact of algorithms. Combining academic rigour with media-savvy communication, she inspires diverse audiences to think critically and innovatively about AI’s role in shaping the future. Her work challenges organisations and individuals to adopt a responsible, human-centric approach to AI development and implementation.
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