Trained in Digital Humanities at UCL, I learned to read culture as data, systems, and transmission. I now work in asset management marketing and branding, turning market ideas into investor narratives that shape attention, trust, and capital.
Inside financial markets, my work is to decide what deserves attention — then give it the right form: a manager interview, a podcast episode, a market commentary, a short video, or a product story.
For Tsinghua AI4H, I built Manufacturing Investment Masters, a research project on how investment ideas are compressed, transmitted, and transformed into belief systems.
Using AI agents, the project compares original texts, public narratives, and follower-facing versions of Buffett, Dalio, and Duan Yongping — treating AI as a research instrument for reconstructing versions and exposing distortion.
The full paper is not public while the competition result is still pending; the website serves as the public-facing version of the project for now, with a video summary forthcoming.
壶中记 is my one-person AI studio for reanimating classical Chinese poetry as short films and interactive web pieces. Five works in seven weeks, built with Midjourney, Seedance, and p5.js.
The point is not automation. It is velocity with taste: moving from source material to visual, interactive, public work before the idea goes cold.
Looking for a role where financial market understanding, editorial judgment, and AI-native content systems meet.