Cecilia Ying

As a Clinical Assistant Professor at Purdue University, I bring over 15 years of industry experience in capital markets and risk management to the classroom, teaching both undergraduate and graduate courses that blend theoretical foundations with practical applications. My courses, including Analyzing Unstructured Data, Introduction to AI, Visual Analytics, and Management & Information Systems, are informed by my professional background, providing students with real-world insights and skills that are highly valued in today's data-driven industries. My research focuses on the application of large language models and their potential societal impacts, with a particular emphasis on model explainability, biases, and corrective measures. By drawing on my extensive experience in the financial sector, I aim to develop AI solutions that are not only technically sound but also grounded in the practical realities of industry.