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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 that blend theoretical foundations with practical applications. Her courses include Analyzing Unstructured Data, Introduction to Artificial Intelligence, Visual Analytics, and Management & Information Systems. Ying's informed 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 a particular emphasis on model explainability, biases, and corrective measures. Drawing on her extensive experience in the financial sector, she aims to develop AI solutions that are technically sound and grounded in the practical realities of the industry.
Purdue University • West Lafayette, IN
Teaching undergraduate and graduate courses such as Analyzing Unstructured Data, Introduction to AI, and Visual Analytics.
GRE is not required.