MIT’s Christina Delimitrou applies machine learning to improve data‑center efficiency
Christina Delimitrou, an associate professor at MIT and member of CSAIL, leads research applying machine learning to make large-scale data centers more efficient, secure, and reliable by redesigning cloud systems, managing shared hardware resources, and developing tools (such as Seer) that anticipate and prevent application problems. Her work aims to increase utilization of existing servers so operators can deliver predictable performance while reducing the need to build new, power-hungry data centers.