Dr Yeo Wee Kiang is a Senior Lecturer at the School of Computing, National University of Singapore (NUS), where he specialises in artificial intelligence, data science and machine learning. He is a member of the NUS Artificial Intelligence Institute and actively works on applying large language models (LLMs) and generative AI to improve learning experiences and outcomes. He teaches several analytics and AI-focused modules, including BT4221, BT5151 and IS5126. A key addition to his portfolio is the upcoming course IS4401 Generative AI and Business Applications, which covers transformer models, conversational AI, RAG pipelines, fine-tuning, agentic AI systems, the Model Context Protocol (MCP), and text-to-image generation using GANs and diffusion models. Another new course, TCX3213, focuses on data mining and machine learning in business analytics. Dr Yeo’s recent research focuses on applying LLMs to education and career development. In a Ministry of Education-funded study, LLMs are used to support nursing undergraduates by generating personalised research guidance and reducing academic stress. He also supervised the development of a multi-agent system where LLMs manage tutoring and career advisory tasks. Another project used LLMs in a zero-shot setting for question generation aligned with learning objectives. In a separate study, LLMs were combined with skills graphs and RAG pipelines to generate personalised learning paths for adult upskilling. These projects were presented at the Higher Education Conference in Singapore (HECS) 2024. He holds a PhD from NUS, where his research focused on machine learning and data mining for drug discovery in collaboration with a multinational pharmaceutical firm. This work laid the foundation for his interest in applied AI. Prior to his current academic appointment, Dr Yeo taught data analytics and programming at the NUS Faculty of Arts and Social Sciences and Nanyang Business School. He also served as Lead Instructor in data science for adult learners in Singapore, Hong Kong and Sydney. Earlier, he held an industry role as Director of Data Science at a food technology start-up, where he led AI initiatives to enhance product nutrition using machine learning. Dr Yeo is an AWS Academy Educator, a graduate of AI Singapore’s LLM Application Developer Programme, and holds the WSQ Advanced Certificate in Training and Assessment (ACTA). He was part of a team recognised with the Spark Award by the Institute for Adult Learning Singapore in 2017 for work related to innovation in continuing education. In 2012, he received the Best Graduate Researcher in Pharmacy award from NUS for research work in partnership with the Novartis Institute for Tropical Diseases. Dr Yeo works at the intersection of technology and education, focusing on how AI can improve the way people learn. His research and teaching aim to equip learners with practical skills while addressing how education systems can adapt to AI-driven change. He is especially focused on how AI can adapt to diverse learning needs, and make education more purposeful in a changing world.