Jasmine Smith is the Founder and CEO of Rejuve.AI, a decentralized AI and longevity research company developing tools for participatory healthspan research, biomarker-informed personalization, and AI-driven longevity insights. With a background in Health Information Management and Health Informatics, she works at the intersection of biomedical data systems, digital health, aging research, and decentralized science.

At Rejuve.AI, Smith leads strategy across product development, research infrastructure, partnerships, and community engagement. Her work focuses on using artificial intelligence and consent-based data systems to make longevity research more transparent, inclusive, and actionable for individuals and research communities.

Smith conceived and led the development of the International Longevity Research Database Protocol, Rejuve.AI’s IRB-reviewed framework for longitudinal, real-world healthspan research, developed in collaboration with two co-investigators. The protocol supports the collection of multimodal data across biomarkers, lifestyle, behavior, wearables, and exposome-related inputs, with an emphasis on participant ownership, informed consent, and real-world applicability.

She has contributed to early real-world research initiatives connected to Rejuve.AI’s decentralized longevity research model, including the Longevity Biomarkers Competition and Summit in Roatán, Honduras, which Rejuve.AI co-hosted. She has also collaborated on JoyScore Experiment, an ongoing exploratory initiative examining joy, connection, psychosocial wellbeing, and environmental experience as part of the broader exposome of healthy aging.

Her broader interests include biological age modelling, biomarkers of aging, AI-assisted evidence synthesis, participatory trial design, decentralized research infrastructure, exposome research, and the ethical use of personal health data. She is especially interested in how biological rejuvenation can be defined, measured, and quantified through multimodal biomarkers and real-world longitudinal data. Through her work, Smith aims to bridge advanced AI, translational aging research, and practical tools that help individuals better understand and improve their health trajectories.