Prior to Infinia ML, Ya was a senior machine learning scientist for Align Technologies. Ya has worked for Siemens Medical Solutions, GE Global Research, and two startups. She has worked on over 20 projects spanning a wide range of application domains, such as industrial-system monitoring, security surveillance, renewable energy, online recommendations, and treatment planning. She has co-authored 9 patents. Ya received BS, MS, and Ph.D. degrees in electrical engineering from Tsinghua University, Arizona State University, and Duke University respectively. The focus of her Ph.D. work was machine learning and statistical data modeling, and her publications have received 3,800+ citations. Ya’s professional passion lies in putting theory into practice to create tangible results, but outside the office, her attention is focused on her family and children.
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