Goodwill Computing Lab is designing novel methods to improve the operational efficiency and cost effectiveness of large-scale parallel computing systems and quantum computing systems. We develop new analytical models, tools, and devise novel techniques that improve the reliability, power-efficiency, and resource-utilization of large-scale data-centric systems. Our techniques and tools benefit many large-scale data-intensive applications that produce, analyze, and manage terabytes of data per day on large supercomputers. We also enthusiastically apply resilience, high performance computing, and data analytics expertise to emerging inter-disciplinary research domains.