Jiong Lua

Jiong Wei Lua currently serves as a Staff Officer at the Singapore Police Force, where he plays a pivotal role in shaping investigation policies and enhancing operational effectiveness through data-driven insights. His expertise in data science, machine learning, and optimization enables him to develop innovative solutions that support law enforcement efforts in crime prevention, investigation, and resource allocation. In this capacity, Jiong Wei collaborates closely with multidisciplinary teams to analyze complex datasets, identify patterns, and inform strategic decision-making, ensuring that policies are both effective and adaptable to emerging challenges.

Prior to his current role, Jiong Wei amassed valuable experience as a data scientist at GovTech Singapore and Wayfair, where he built sophisticated models such as job recommendation engines and revenue uplift algorithms. His strong foundation in economics from the London School of Economics, complemented by advanced training in data science and operations research from MIT, equips him with a unique blend of analytical rigor and practical problem-solving skills. Proficient in Python, R, PySpark, and Tableau, he leverages these tools to develop scalable data pipelines, perform statistical analyses, and visualize insights that drive policy and operational improvements.

At the Singapore Police Force, Jiong Wei applies his technical expertise to optimize investigation workflows, enhance predictive policing models, and support strategic planning through data analytics. His bilingual proficiency in English and Mandarin further facilitates effective communication across diverse teams and stakeholders. With a keen focus on leveraging data science to advance public safety, Jiong Wei continues to contribute to the force’s mission of maintaining law and order through innovative, evidence-based approaches.