
ZHAO Yiliang
Part-Time Lecturer- Ph.D. (Computer Science, National University of Singapore)
- B. Eng (Computer Engineering, Nanyang Technological University)
Dr. Yiliang Zhao is an Adjunct Faculty member at the National University of Singapore (NUS), with extensive experience in artificial intelligence, machine learning, data science, and enterprise AI transformation. He holds a PhD in Computer Science from NUS and an Executive MBA from Quantic School of Business and Technology. Dr. Zhao currently serves as Vice President and Head of AI at Income Insurance, where he leads enterprise-wide AI strategy, innovation, and adoption, focusing on the application of machine learning, generative AI, and intelligent automation to address real-world business challenges. Prior to joining Income Insurance, he was Director and Head of Data Science at Openspace Capital, a Southeast Asian venture capital firm, where he led AI and data science initiatives across portfolio companies. His industry experience spans financial services, fintech, e-commerce, and healthcare, with a focus on developing scalable AI solutions and translating advanced technologies into measurable business outcomes. Alongside his industry career, Dr. Zhao is actively involved in higher education as an adjunct faculty member at NUS and Singapore Management University (SMU). His teaching interests include applied machine learning, deep learning, data engineering, and the practical deployment of AI systems. He is passionate about bridging academic foundations with industry practices, equipping students with both technical knowledge and practical problem-solving skills. His research and professional interests encompass machine learning, deep learning, natural language processing, computer vision, generative AI, MLOps, and enterprise AI applications. He has authored more than 15 academic publications and received recognition for his contributions to applied AI research. Dr. Zhao is committed to advancing AI education, fostering industry-academia collaboration, and preparing the next generation of AI professionals to address complex technological and societal challenges.
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