I’m a software engineer in the Cloud and AI Systems Research Department at the IBM Research Lab in Zurich. My research interests are in virtualized distributed systems and data centers, specifically in state-of-the-art network and storage technologies.
I earned my Bachelor and Master degrees in Computer Science at the Swiss Federal Institute of Technology (ETH) in Zurich in 2014.
I'm working on software-defined distributed storage for the next-generation IBM Cloud and I'm involved in a project that leverages machine learning for anomaly detection in Storage Insights.
Earlier, I worked on the Crail project which tries to exploit high-performance I/O devices with a focus on Remote Direct Memory Access (RDMA) and non-volatile memory (NVM) in data-processing frameworks like Spark.
I'm the developer of the open-source project HyV a hybrid I/O virtualization framework for RDMA-capable network interfaces. HyV leverages the user-application isolation feature of RDMA devices in virtual environments by paravirtualizing the control path and allowing full hypervisor bypass on the data path.