Research Interests
My research focuses on the intersection of artificial intelligence, sustainability, and digital infrastructure. I am particularly interested in how we can build AI systems and digital platforms that are environmentally responsible, socially inclusive, and designed to serve communities in the Asia-Pacific region.
Sustainable AI Infrastructure
Exploring energy-efficient AI systems and green computing practices to reduce the environmental footprint of machine learning operations.
Potential Research Questions
- How can we measure and reduce the carbon footprint of AI systems?
- What frameworks are needed for sustainable AI development?
- How can digital infrastructure support marginalized communities?
Environmental Impact of AI Compute
Researching carbon emissions from AI training and inference, developing frameworks for measuring and optimizing AI sustainability.
Potential Research Questions
- How can we measure and reduce the carbon footprint of AI systems?
- What frameworks are needed for sustainable AI development?
- How can digital infrastructure support marginalized communities?
Digital Public Infrastructure
Building scalable, accessible digital platforms that serve communities and public institutions across diverse geographical contexts.
Potential Research Questions
- How can we measure and reduce the carbon footprint of AI systems?
- What frameworks are needed for sustainable AI development?
- How can digital infrastructure support marginalized communities?
AI Systems and Agentic Workflows
Designing intelligent agent architectures that autonomously orchestrate complex workflows and decision-making processes.
Potential Research Questions
- How can we measure and reduce the carbon footprint of AI systems?
- What frameworks are needed for sustainable AI development?
- How can digital infrastructure support marginalized communities?
Data Systems for Social Impact
Creating robust data collection and analytics platforms that empower NGOs and community organizations with actionable insights.
Potential Research Questions
- How can we measure and reduce the carbon footprint of AI systems?
- What frameworks are needed for sustainable AI development?
- How can digital infrastructure support marginalized communities?
AI for Public Health and Communities
Leveraging AI and data-driven approaches to address public health challenges and strengthen community health systems.
Potential Research Questions
- How can we measure and reduce the carbon footprint of AI systems?
- What frameworks are needed for sustainable AI development?
- How can digital infrastructure support marginalized communities?