Ling Huang has a research and engineering background in big data, machine learning, computer vision and data-driven security, including large-scale machine learning pipelines for user behavioral modeling and risk evaluation; deep learning for image classification, object detection and content understanding; adversarial machine learning, fake account/spam/fraud detection and malware classification, etc. Ling Huang was a founding member and the Director of Data Science at DataVisor, Inc from May 2014 to June 2016. He was a senior research scientist in Intel ISTC on Secure Computing from May 2011 to May 2014, and was a research scientist at Intel Labs Berkeley from October 2007 to May 2011. He pursued his Ph.D. in Computer Science at University of California at Berkeley. During his Ph.D. study, he was affiliated with RadLab. Prior to UC Berkeley, he obtained B.S. and M.S. degree from Beijing University of Aeronautics and Astroautics (BUAA) in China, and worked more than three years as a system architect and project manager at Bei Hang Haire CAXA, the No.1 CAD/CAM software company in China. More of his information can be found at http://www.linghuang.org/ .