My current focus is on promoting dietary changes that align both personal health and planetary health, especially through health promotion strategies that use advanced technologies and engage youth communities.
I’m particularly interested in how food functions not only as nutrition, but also as a cultural and social symbol that shapes daily practices and long-term health—both physical and mental.
I aim to explore how cultural and social differences in food-related practices—such as agriculture, cooking, and food processing— interact across populations. Ultimately, I hope to contribute to food system changes that are inclusive, sustainable, and context-sensitive, especially for young people navigating complex and shifting food environments.
My work aligns with the EAT-Lancet Commission’s vision by promoting dietary shifts that support both human and planetary health through culturally sensitive, youth-focused, and technology-
driven strategies.
Progress can be measured by tracking the number of youth engaged through campaigns, reductions in ultra-processed food and sugar intake, increased consumption of plant-based foods, and the inclusion of culturally relevant dietary practices. Additional indicators include improvements in self-reported health, active participation in food-related activities, and the adoption of sustainable food sourcing.
These metrics ensure that interventions are impactful, context- sensitive, and supportive of long-term, equitable food system transformation.
Academic mentors such as supervisors, lecturers, and researchers who provide guidance, theoretical grounding, and research opportunities.
Like-minded peers and youth advocates who share a passion for transforming food systems.
Industry professionals and senior experts who offer valuable insights into real-world practices, sustainability challenges, and opportunities for impact at scale.
Technology developers and data scientists who support the integration of AI and machine learning into health promotion and food
A key insight from my work is how machine learning and AI open new possibilities for analysing dietary patterns alongside environmental and cultural indicators. These technologies reveal hidden connections between food choices, health outcomes, and sustainability, enabling more tailored and impactful interventions. The challenge lies in ensuring these tools remain inclusive and context-sensitive—especially for diverse youth communities navigating complex food environments shaped by tradition, identity, and access.
Pursue a PhD to deepen my research on sustainable, culturally grounded food systems through an academic lens.
Strengthen my skills in statistics, machine learning, and AI to enhance data-driven analysis of dietary and environmental patterns.
Launch a health promotion podcast to engage young people in conversations about indigenous food, culture, and sustainability.
Collaborate with researchers, tech experts, and community leaders to co-create inclusive, youth-focused solutions and scale impact across diverse contexts.
For more information contact: Stella Li at stellalee0226@163.com