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I am a PhD Candidate at Carnegie Mellon University in the School of Computer Science's Human-Computer Interaction Institute. I am advised by Haiyi Zhu in the Social AI Group. Previously, I studied computer science at Cornell University (BS in CS '19) and worked as a software engineer at Amazon.
My research is in human-computer interaction (HCI) for mental health and community well-being. I use any relevant methods, but most often draw from computational social science, simulation, and applied AI.
Outside of research, I enjoy drawing, ceramics, sewing clothes, meditation, and listening to rock/electronica/punk/indie music! I actively volunteer and foster both cats and dogs for the Humane Animal Rescue of Pittsburgh; I am always happy to talk to people about getting involved with animal rescue!
Google Scholar //
Twitter (X)
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Selected Research:
My research spans a wide range of topics within the field of mental health, from online communities, to simulation and experimentation systems, to VR/AR and embodied experiences. Within these research directions that I find meaningful, though, I am the most excited about sociotechnical systems that enable well-being in proactive ways — those that are self-sustaining, self-correcting, or promote positive behaviors — rather than retrospective handling of harm.
My work has been funded by the Center for Machine Learning & Health as both a 2022 Fellow and 2024 Fellow.
Below are works that are recent and representative of my interests as of late. Please see my Google Scholar for full publication list.
Envisioning new futures of positive social technology: Beyond paradigms of fixing, protecting, and preventing
JaeWon Kim and Lindsay Popowski, Anna Fang, Cassidy Pyle, Guo Freeman, Ryan M Kelly, Angela Y Lee, Fannie Liu, Angela DR Smith, Alexandra To, Amy X Zhang
CSCW Companion 2024
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