Cindy Tseng is a research scientist with the Applied Research in Automotive Driving Group at Intel, where she has recently been focusing on bias detection in convolution neural nets. Cindy has also worked in the high-throughput computing and deep learning hardware accelerator spaces. She holds a master’s degree from the Electrical and Computer Engineering Department at Carnegie Mellon University and a bachelor’s degree in electrical engineering and computer science from the University of Michigan-Ann Arbor. Cindy is currently enrolled as a part-time student in the Masters in Data Science Program in Computer Science at the University of Illinois Urbana-Champaign.
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