Ying Wang is a highly skilled professional with 13.2 years of experience in machine learning, algorithms, and simulations. Based in the United States, Ying has expertise in MATLAB, C++, and algorithms. With a strong background in wireless communications and coding, Ying has worked in various research and analytics roles, including at Amazon, Qualcomm, Nokia Bell Labs, and HGST. Ying's passion lies in efficient model compression, sparsity learning, compute in memory, source compression, and generative models. With a Doctor of Philosophy (PhD) focused on Electrical and Computer Engineering, Ying is a valuable asset in the field of machine learning.

Senior Applied Scientist
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