Yin is the Head of Product (RegBrain) at CUBE, a market-leading regtech that transforms regulatory data into regulatory intelligence. RegBrain is CUBE’s data learning engine, and is powered by advanced ML and NLP techniques focussed on machine understanding. Its core capabilities encompass everything from recommendation systems to the prediction of regulatory trends.
Prior to joining CUBE, Yin worked in AI & NLP-oriented product roles across a range of other sectors, including edtech and fintech. She also has a strong research background. She completed her doctorate at the Oxford Internet Institute (OII), which focussed on the computational analysis of the rhetoric and resonance of 26M Brexit tweets. While at the OII, she was actively involved with data science-oriented projects for the Rockefeller Foundation, the Alan Turing Institute, and the Centre for Socio-Legal Studies at the Oxford Law Faculty. She was also a visiting researcher at the Fraunhofer Institute for Computer Graphics Research IGD, under an EU Horizon 2020 big data grant.
Alongside her work at CUBE, Yin is actively developing the discipline of communication science. She serves on the Advisory Board of The Society Library, a non-profit organisation dedicated to extracting, organising, and archiving humanity’s ideas from a wide range of media formats.