I am a Ph.D. student in sociology and science studies at the University of California, San Diego. My research interests span science and technology studies (STS), political sociology, economic sociology, global health, and mixed methods. I am particularly interested in the classification and quantification of people.

My research experiences could be classified into three themes. Collectively, my peer-reviewed publications have yielded more than 300 citations. My current research focuses on the politics of algorithms. My dissertation project will examine the design and implementation of Chinese social credit systems. My latest publication, "Multiple Social Credit Systems in China," explores the complicated reality of this ambitious policy experiment. I am also working on two papers about the contract tracing and risk assessments algorithm implementation during the Covid-19 pandemic.

My previous two study themes are public health studies and studies of public health. Before my education at UC San Diego, I worked as a research assistant at the University of North Carolina Chapel Hill Project-China, conducting HIV/AIDS research and interventions. With my co-authors, I have published more than 30 articles in public health journals (three first-authored). In my first two years at UC San Diego, I adopted sociological/STS theories to critically reexamine the sociopolitical structure and power dynamic behind the public health system in China. I published four articles (all first-authored) under this theme. My ASA-awarded paper "Red is not the only color of a rainbow: The making and resistance of the 'MSM' subject among gay men in China," which was published on Social Science & Medicine, represents this sociological/STS investigation. These research experiences fit into my broader intellectual interests in knowledge, power, and classification.

As a person who was born in North China but lived in Guangzhou for six years, I developed a deep love for Cantonese food but only a limited skill of Cantonese.

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