唐筠杰 / TANG, YUNJIE
Before I measured data, I studied memory. Trained in archival science at Shanghai University, I work between Peking University, where I am a PhD candidate in Information Science with Prof. Jianlong Chen, and the University of Pittsburgh, where I collaborate with Dr. Frances Corry. The train in my header rushes past; what endures is the choreography of remembering and forgetting inside data and archives. I map cultures of data, trace how institutions and policies script everyday practice, and test what generative AI does to inequality, trust, and privacy.
Which numbers become stories, whose stories are counted, and how those stories come to govern us are the questions that organize my research. At the seams of identity and infrastructure, my work follows marginalized lives, from queer youth and women’s digital health to students’ uneven access to AI. Publications include Interactive Learning Environments, Journal of the Australian Library and Information Association, Library & Information Science Research, Archives & Records, Information Research, Libri, and Serials Review. Forthcoming in the Journal of Information Science is “Safety in neutrality, strength in emotion,” a study of how LLM chatbots support LGBTQIA+ identity formation in China. Accepted at iConference 2026 is “Her Cycle, its logic” (Best Short Research Paper Award), which examines how women’s bodily cycles are rendered into data logics that discipline and govern. Under review at IC&M is “Between managerial and resistant,” a critical metaphor analysis that exposes how talk of “data culture” can authorize control while cloaked in inclusion. Recent honors include the Peking University Presidential Scholarship and the Leo KoGuan Scholarship. Ongoing projects compare information and data culture across settings and examine how data regimes authorize or erase.
Like many queer kids, I learned to read rooms before datasets. Before performing Liability, Lorde spoke of writing from the feeling of being alone in a room, like black liquid seeping through the cracks; invisibility can seep that way too, until systems mistake it for truth. I love Euphoria for its restless search for a self both online and off, especially Jules, bright as a sprite and mercurial as a mirage; I want to be the kind of person who stays just beyond paraphrase yet impossible to put down. Not every life needs to be made machine-readable. I have a border collie named Qiuqiu, born in 2021 on what feels like our own Valentine’s Day, who lives with my parents; he is about 40 kg, and I still pick him up when I visit. With my boyfriend, I am also co-raising a Devon rex tabby named Echo, born in 2025, just two days before Chirstmas Eve, arriving at that quiet turn of the year. I keep returning to Godard’s reminder to privilege solidarity over optics: “We are talking about the solidarity of students and workers, and you are talking about zooms and close-ups, you idiots.” Spoiler alert: let’s hack the data scripts that try to script us.
Before I measured data, I studied memory. Trained in archival science at Shanghai University, I work between Peking University, where I am a PhD candidate in Information Science with Prof. Jianlong Chen, and the University of Pittsburgh, where I collaborate with Dr. Frances Corry. The train in my header rushes past; what endures is the choreography of remembering and forgetting inside data and archives. I map cultures of data, trace how institutions and policies script everyday practice, and test what generative AI does to inequality, trust, and privacy.
Which numbers become stories, whose stories are counted, and how those stories come to govern us are the questions that organize my research. At the seams of identity and infrastructure, my work follows marginalized lives, from queer youth and women’s digital health to students’ uneven access to AI. Publications include Interactive Learning Environments, Journal of the Australian Library and Information Association, Library & Information Science Research, Archives & Records, Information Research, Libri, and Serials Review. Forthcoming in the Journal of Information Science is “Safety in neutrality, strength in emotion,” a study of how LLM chatbots support LGBTQIA+ identity formation in China. Accepted at iConference 2026 is “Her Cycle, its logic” (Best Short Research Paper Award), which examines how women’s bodily cycles are rendered into data logics that discipline and govern. Under review at IC&M is “Between managerial and resistant,” a critical metaphor analysis that exposes how talk of “data culture” can authorize control while cloaked in inclusion. Recent honors include the Peking University Presidential Scholarship and the Leo KoGuan Scholarship. Ongoing projects compare information and data culture across settings and examine how data regimes authorize or erase.
Like many queer kids, I learned to read rooms before datasets. Before performing Liability, Lorde spoke of writing from the feeling of being alone in a room, like black liquid seeping through the cracks; invisibility can seep that way too, until systems mistake it for truth. I love Euphoria for its restless search for a self both online and off, especially Jules, bright as a sprite and mercurial as a mirage; I want to be the kind of person who stays just beyond paraphrase yet impossible to put down. Not every life needs to be made machine-readable. I have a border collie named Qiuqiu, born in 2021 on what feels like our own Valentine’s Day, who lives with my parents; he is about 40 kg, and I still pick him up when I visit. With my boyfriend, I am also co-raising a Devon rex tabby named Echo, born in 2025, just two days before Chirstmas Eve, arriving at that quiet turn of the year. I keep returning to Godard’s reminder to privilege solidarity over optics: “We are talking about the solidarity of students and workers, and you are talking about zooms and close-ups, you idiots.” Spoiler alert: let’s hack the data scripts that try to script us.
You’re seeing one slice; the CV is a map, not the territory. If it will not load, it is not on you, just email me.