about

I am a PhD student at the University of Michigan School of Information. My research interest broadly lies in health informatics and health and health care equity, while also drawing on perspectives from adjacent fields such as social computing and implementation science. Most recently, I have been thinking about how artificial intelligence can support more equitable and effective health care, particularly in the context of health and social care integration.

Previously, I have written and researched in the space of substance use and HIV prevention, including applying feminist theories to design a mobile app for overdose reversals in Philadelphia and community-based participatory research to improve HIV preventive outcomes among LGBTQ communities in China.

I identify with a rather fuzzy epistemology, meaning I enjoy both evidence-based and interpretivist approaches to research. I believe that decentralized and participatory methods of health technology design can foster a more democratic health ecosystem and contribute to a more equitable health future for all.