Daniel DeLayo, a PhD candidate in computer science at Stony Brook University, has been awarded the MongoDB PhD Fellowship. The fellowship is designed to support outstanding doctoral students whose research may impact the future of software and data systems. It offers financial support to their universities, mentorship from MongoDB researchers and engineers, and opportunities for fellows to present their work at company events.
DeLayo’s research focuses on algorithms, system building, big data, memory hierarchies, and data locality. His recent publications examine efficient methods for moving and caching data in modern memory systems and designing algorithms that allow large-scale datasets to remain responsive on current hardware.
Michael Bender, John L. Hennessy Endowed Professor of Computer Science at Stony Brook University, said: “Most computer scientists are skilled in either the engineering or the theoretical/mathematical foundations of CS — whereas Daniel is truly ambidextrous. Daniel is also a terrific communicator and colleague — any group runs better when he’s part of it. I’m extremely grateful that MongoDB is supporting Daniel as part of their PhD Fellowship Program. I know that Daniel will love the opportunity to interact with engineers at MongoDB and vice versa.”
DeLayo commented: “I’m excited to work with MongoDB engineers to bring my caching, paging and parallelism research closer to industry.”
The fellowship highlights both DeLayo’s potential as a researcher and Stony Brook University’s role in advancing work on data-intensive systems and large-scale computing by connecting students directly with industry professionals who develop widely used database platforms.
