Jasmine Smith
Rejuve.AI, CEO
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Jasmine Smith is the founding CEO of Rejuve.AI, a decentralized network advancing longevity research through artificial intelligence, blockchain, and participatory science. An international speaker and podcast host, Jasmine is a rising voice in the longevity and decentralized science movements, advocating for a future where healthspan technologies are accessible to all.
Rejuve.AI—born from the SingularityNET ecosystem—pioneers a citizen-powered approach to aging research, enabling individuals to contribute health data, receive personalized insights, and earn tokenized rewards. These contributions fuel AI models designed to better understand—and ultimately overcome—the biological processes of aging.
With a background in Health Information Management and early experience as a Senior Medical Coding Specialist at Memorial Hermann, Jasmine witnessed firsthand the inefficiencies of reactive healthcare systems. This catalyzed her mission to build proactive, equitable alternatives grounded in data ownership and personal empowerment.
Under her leadership, Rejuve.AI has grown into a global platform promoting transparency, inclusivity, and real-world impact in the fight against aging. Jasmine has spoken at leading events including HLTH Europe, Vitalist Bay, the Alliance for Longevity Initiatives (A4LI) D.C. Summit, and Longevity Summit Dublin, sharing Rejuve.AI’s vision of a collaborative, decentralized future for human health.
Through her work, Jasmine is helping to shift the paradigm from sick care to self-directed, science-backed longevity—one individual at a time. -
From Anecdotes to Algorithms: Scaling N-of-1 for Longevity
AI is changing how people think about health, with more turning to tools like ChatGPT, wearables, and biological age tests to guide self-experimentation. Biohacking is going mainstream—but most of the data it generates is lost, dismissed as anecdote, or siloed. This talk explores how we can transform that data into science—making personal health interventions more measurable, more quantifiable, and ultimately more scalable for precision longevity. -
To be announced
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