I’m interested in computer systems for emerging large-scale workloads such as machine learning, big data analytics and cloud computing. In DAWN, we’re working on infrastructure for usable machine learning to make it dramatically easier to bring ML applications to production: these issues are often much larger obstacles than ML algorithms in practice. My work includes software runtimes, quality assurance tools and systems optimizations for ML. Beyond usability, I am intersted in data privacy as the flipside to big data, and have worked on systems that can provide scalable privacy for communication, Internet queries and SaaS applications.