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Cecilia Ying is a Clinical Assistant Professor at Purdue University with 15 years of industry experience in capital markets and risk management. She teaches both undergraduate and graduate courses, including 'Analyzing Unstructured Data,' 'Introduction to AI,' 'Visual Analytics,' and 'Management & Information Systems.' Her professional background allows her to provide students with real-world insights and skills that are highly valued in today's data-driven industries. Her research focuses on the application of large language models and their potential societal impacts, with particular emphasis on model explainability, biases, and corrective measures. Drawing from her extensive experience in the financial sector, Dr. Ying aims to develop AI solutions that are technically sound and grounded in the practical realities of the industry.
GRE is not required.