Summary
Lin Yang is a Research Staff Member at IBM Research - China with 12 years of experience building cloud and big data solutions, currently leading the IT Operational Analytics group focused on APM, transaction tracing, log analytics, and intelligent anomaly detection for large-scale cloud platforms. He has a strong track record of translating research into production: 16 academic papers, three books, and 14 patents underpin tools deployed on IBM’s OpenStack, VMware and Docker-based PaaS offerings. Technically fluent in graph-based analytics, log-template mining, invariant sequence mining, and transfer-learning–based performance modeling, he architects containerized microservice platforms integrated with DevOps pipelines. A PhD in Computer Science and cross-institutional training at Nankai University and the University of Michigan inform his ability to blend rigorous research with operational delivery at scale. Less obvious: he repeatedly focuses on insulating users from infrastructure complexity—designing modeling and service layers that let operators reason about system health without wrestling raw telemetry.
12 years of coding experience
2 years of employment as a software developer
Joint Education, Computer Science, Joint Education, Computer Science at University of Michigan
Ph.D., Computer Science, Ph.D., Computer Science at Nankai University
Chinese, English