Interests. My research focuses broadly on leveraging emergent technologies to engineer software systems designed to measure and improve network service performance. Recently, I have given particular attention to the development of methods that bridge state-of-the-art concepts in network systems and measurement together with data science and machine learning applied to network inference.
Goals and Approach. My research exploits computing resources available in the network infrastructure to develop network management tools that can profoundly impact how networks operate. A key aspect to my work is a practical approach to advanced research informed by extensive experience converting academic research projects into functional solutions. Throughout my career, I have striven to build software that 1) validates the proposed system designs via real-world rigorous evaluation, 2) that can be verified, reused, and extended by the research community, and 3) that can achieve important broader implications for both ISPs and consumers at large.