Yulu Pi

Yulu Pi is a Researcher at the Centre for Interdisciplinary Methodologies, University of Warwick. Her work focuses on developing interactive algorithmic systems to enhance AI adoption in the public sector, bridging machine learning and policy-making processes. She holds a background in data science and economics, with prior experience in governmental and international organizations.

Research Interests: Machine learning, Explainable AI (XAI), policy-making methodologies, and algorithmic decision-making frameworks for public institutions. Her work emphasizes data-driven policy predictions and cost-efficient policy trials through advanced ADM systems.

Publications include a 2021 paper in JeDEM - EJournal of EDemocracy and Open Government, exploring machine learning applications in government contexts. She received the Chancellor’s International Scholarship (2021-22) through the Centre for Interdisciplinary Methodologies.

Her PhD research, titled 'Interactive Algorithmic Decision-Making For Public Policy,' addresses the challenges of predicting policy outcomes through computational models. No formal student advisement roles are currently listed.