Talking Machines · Tote Bag Productions

ICML 2018 with Jennifer Dy

·20 min·1 clip

Jennifer Dy reveals how her journey from the Philippines to leading ICML 2018 shaped her passion for machine learning.

This episode of Talking Machines features host Katherine Gorman interviewing Jennifer Dy, a professor at Northeastern University and a program chair for the 2018 International Conference on Machine Learning (ICML). Gorman and Dy discuss Dy's career path and her current research focus. Dy explains she grew up in the Philippines and completed her undergraduate degree there before moving to the U.S. for graduate studies. She earned her master's and PhD at Purdue University, initially studying electrical engineering and image processing. Her PhD advisor, Carla Brodley, introduced her to the field of machine learning. Dy states she was drawn to machine learning for its capacity to derive understanding from data, particularly from images. After her PhD, she pursued teaching and directly joined the faculty at Northeastern University. Her research group works on both fundamental machine learning methods and applied projects in health, science, and engineering. A key insight is Dy's perspective that her engineering background in signal processing provided a natural foundation for moving into machine learning. She emphasizes the value of the "understanding piece" in transforming raw data into useful, automated detection systems. The conversation reveals the non-linear yet logical progression of an academic career, from specific technical interests to a broader research agenda. The episode has a conversational and informal tone, recorded live at the ICML conference. It is styled as a short, focused career profile and research overview. Listeners interested in academic career trajectories or the intersection of engineering and machine learning would enjoy this episode. Those seeking deep technical discussions of specific ICML research papers might find the content too introductory.

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