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Hi, I’m Ran :^)

I study Computer Science and Modern Culture & Media at Brown University. I’m interested in how tech, power, and sociolegal understandings of new media co-produce each other.

In the past, I’ve had the luck to RA at Brown’s DISCO Lab, where I researched and helped engineer AI-supported systems helping no-code communities design custom moderation tools on federated social media. 1 I’ve also visualized social networks in open-source lobbying data for the Watson School of International and Public Affairs. 2

Right now, I’m spending many waking hours working on my senior thesis, which considers artist communities’ refusal of AI scraping by:

  • [hci] Taxonomizing the methods of individual and collective action artists take across different creative domains as a function of their sociolegal conditions.

  • [crypto/ML] Hardening commitment-based non-membership proofs to adversarial augmentation, such that these proofs can be used more robustly to verify that sensitive data hasn’t been used in AI training datasets.3

More broadly in life, some things I love are visual art (comic art, printmaking), the critical history of language technology, and all of Kaveh Akbar’s Pilgrim Bell poems. Please reach out about any of the above :)

Footnotes

  1. How might community-based moderation demand different algorithmic affordances than top-down, centralized moderation? How can we use small AI thoughtfully?

  2. Will be linked in early September.

  3. Although cryptographic frameworks provide more levers to efficiently audit for data regulation violations - and may mean that the legal burden of proof rests less laboriously on the public - sociolegal integration is a complex question that deserves its own study. Please talk to me about this, I’m still trying to do my due diligence!



Projects

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Please feel free to reach out! You can find my email in the Brown CS directory.

© 2026 Ran Zhao