Dr. Ze Li is a data scientist in Microsoft Azure. Currently, he focus on using data driven and AI technologies to enable efficiently and effectively building and operating cloud service, such as safe deployment in large scale system, intelligent anomaly detection and pattern mining in cloud services. Previously, he worked as data scientist/engineer in Capital One and MicroStrategy, where he provided data driven solutions to improve efficiency in financial services and business intelligent services. He published more than 40 peer review papers in the field of data mining, distributed networks/systems and mobile computing. He hold a Ph.D degree in computer engineer from Clemson University.