Chen Wang

Chen Wang is a Research Staff Member at the IBM T.J. Watson Research Center. Her research interests lie in Kubernetes, Container Cloud Resource Management, data-driven resource management, user experience-driven container management, Cloud Native AI systems, and applying AI in Cloud resource management. She is an open-source advocate, a Kubernetes contributor, an Open Source Summit speaker, and a KubeCon speaker.

She obtained dual Ph.D. degrees from Carnegie Mellon University (CMU) and Faculdade de Engenharia da Universidade do Porto (FEUP) through ICTI Program. She was advised by Prof. Hyong Kim at CMU and Prof. Ricardo Morla at FEUP. 

Her talks in Open Source Communities include：

• On Data Locality in Kubernetes, Open Source Summit 2022 Japan
• Trimaran: Real Load Aware Scheduling in Kubernetes, KubeCon 2021 NA
• Sustainability the Cloud Native Way, Open Source Summit 2022 NA
• On Data Locality in Kubernetes, Kubernetes AI Day at KubeCon 2022 NA
• Unleash the Full Potential of Kubernetes Scheduler: Configuration, Extension and Operation in Production, KubeCon 2022 NA
• Sustainability Research the Cloud Native Way, KubeCon 2022 NA