Ween Jiann Lee

Background

About Ween Jiann Lee

Driven by a passion for data and a commitment to problem-solving, I am a data scientist with a Ph.D. in Computer Science. My thesis advances representation learning and data matching techniques across diverse domains, particularly spatial, graph, and semi-ordered data to improve AI and machine learning. This includes challenges related to incorporating intrinsic features and aggregation improving learning quality. Before this, I obtained a Bachelor of Business Management, majoring in Operations Management and Data Analytics, I have a strong foundation in both business operations and data-driven decision-making. My professional journey includes impactful roles in research, consulting, systems administration and teaching. Notable achievements include leading consulting projects that resulted in substantial cost savings and implementing simulation studies to optimize operational plans. I also enjoy nurturing the next generation of data-driven professionals through teaching in universities. I am enthusiastic about exploring opportunities to push the envelope in data mining and analytics, particularly in leveraging large user-generated datasets to extract actionable insights and drive business innovation. Let's connect to explore potential collaborations!