Paul is a seasoned data scientist and transformation leader, working with clients across Southeast Asia to unlock value through advanced analytics, AI, and gen AI to deliver analytical and engineering solutions. Industry agonistic, he specializes in designing and implementing large-scale transformations that embed cutting-edge technologies into core business processes.
His work spans across industries such as agriculture, energy, financial services, private equity, telecommunications, and healthcare.
Examples of Paul’s recent client work include:
- leading a holistic transformation for a Southeast Asian agri-commodity and consumer player by developing a digital twin of its global supply chain, embedding AI and gen AI into trading, pricing, and risk management, and achieving above-market EBIT growth over two years
- delivering an agentic solution across a private equity firm’s portfolio of companies, accelerating customer communications to increase sales while reducing operational costs
- developing an agentic gen AI project management system for a Southeast Asian energy player, unlocking 15–20 percent productivity savings for their digital team
- driving a data and analytics transformation for a Southeast Asian bank, focusing on credit card cross-selling analytics that delivered a 7x impact compared to the control group
- developing analytics, AI, and gen AI training programs to upskill over 1,000 technical and non-technical professionals across multiple organizations
- supporting Japanese and Southeast Asian pharmaceutical companies in commercial analytics, rapid campaign planning, and change management, improving sales performance by 2–5 percent
- enabling a Southeast Asian insurance company to enhance digital marketing campaign performance through partnerships with second-party organizations and building capabilities for launching digital distribution on other platforms
- developing cross- and up-selling recommender systems and analyzing relationship manager effectiveness to boost private bank customer sales
Paul is also a leader in our global AI for Social Good initiative, Noble Intelligence, partnering with the United Nations and NGOs to create use cases that provide humanitarian support for natural disasters impacting eight million people annually, as well as gen-AI-powered education services to 20 million students.
Prior to joining McKinsey, Paul worked as a researcher in defense, where he specialized in mathematical modeling to support decision-making in complex, uncertain environments. He holds a PhD in computer science and mathematics from Imperial College London.