Episode description

Decoding AI: Enhancing Efficiency and Reliability in Machine Learning with Dr. Jing Gao

In this episode of Engineering Innovations, hosted by Kristin Malavenda of Purdue University's Elmore Family School of Electrical and Computer Engineering, we interview Dr. Jing Gao, an Associate Professor renowned for her pioneering work in data science. Dr. Gao shares insights on improving the reliability and efficiency of AI models, which are crucial for everything from medical diagnoses to everyday applications like smartphone AI. She discusses her groundbreaking research on data poisoning attacks and the development of innovative tools like the Interpretation Manipulation Framework and Light Token. The conversation also delves into the importance of mentorship in academia and the interdisciplinary nature of data science research.

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Purdue University's Elmore Family School of Electrical and Computer Engineering, founded in 1888, is one of the nation's largest ECE departments and consistently ranked among the best in the country.