I am a Research Staff Member in IBM Research - China.
My current research is focusing on applying advanced analytics techniques (e.g. statistics, machine learning, deep learning) into large-scale ssytem operational data - machine generated data (e.g. metrics, logs, and events) and management data (e.g. configurations, tickets, change requests) in order to proactive anomaly detection and root cause analysis. The key usage scenarios include the configuration discovery, drift detection, change impact analysis, and mis-configuration root cause analysis. Besides, I also have been working on the projects to develop tools for workloads migration to cloud evaluation and automation. In the past, I have worked on several projects on the project portfolio optimization, domain knowledge harvesting, and asset-based solution design. I joined IBM Research-China after receiving my Ph.D from Beijing University of Aeronautics and Astronautics.