Sheng Di received his master's degree from Huazhong University of Science and Technology in 2007 and Ph.D. degree from the University of Hong Kong in 2012. He is currently an assistant computer scientist at Argonne National Laboratory. Dr. Di is a senior member of IEEE and the recipient of 2018 IEEE-Chicago Distinguished Mentoring Award. His research interest involves resilience on high-performance computing (such as silent data corruption, optimization checkpoint model, and in-situ data compression) and broad research topics on cloud computing (including optimization of resource allocation, cloud network topology, and prediction of cloud workload/hostload). He is working on multiple HPC projects, such as in-situ error-bounded lossy compression for HPC data, detection of silent data corruption, characterization of failures and faults for HPC systems, and optimization of multilevel checkpoint model.