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  • EPFL
  • Milky Way
  • 17:17 (UTC +02:00)

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Achievements

Achievement: Pair Extraordinairex3Achievement: YOLOAchievement: StarstruckAchievement: Pull Sharkx2Achievement: Quickdraw

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nmrenyi/README.md

I'm Ren Yi (任一), a master's student in Digital Humanities at EPFL. My research applies LLM and AI systems where they're least available — women doctors hidden in French medical directories and maternal healthcare in Zanzibar, Tanzania.

I believe every field should be able to benefit from the rapid development of AI. Not only the fields that draw the most money, but also the fields that matter to us as humans, to our lives, for example, history, education, literature, health, gender equality. Being able to apply AI systems to these fields makes me feel excited, responsible and proud.

I enjoy having my work cover the entire lifecycle of a project: system design, implementation, evaluation, and further improvement. Everything is open-sourced on my GitHub.

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  1. mamai mamai Public

    On-device medical search for nurses and midwives in Zanzibar — offline RAG with Gemma 4 on Android

    Dart 1 1

  2. mamai-eval mamai-eval Public

    Evaluation for the MAMAI medical assistant — generation quality, retrieval quality, on-device latency and safety across versioned app configs

    Python 1 1

  3. rosenwald-report rosenwald-report Public

    LLM-based structured data extraction from the Rosenwald Guides to quantify the presence of women doctors in historical French medical directories.

    TeX