Sergey Legtchenko

About

I am a systems researcher working on the future of AI infrastructure at Microsoft Research Cambridge (UK). My current focus is on Managed Retention Memory, a new type of memory optimized for specific requirements of AI workloads. I enjoy working in a multi-disciplinary teams at the intersection of systems, machine learning and hardware. More broadly, my interests span across operating systems, networking and storage.

In the past, I was involved in Project Silica, (opens in new tab) which is an archival storage technology that enables sustainable data storage for millenia. I helped developing a storage stack for a fundamentally novel data storage principle: femtosecond laser writing into glass media.

I received my Ph.D. from Université Pierre et Marie Curie (UPMC) in Paris. There I worked on massively multiplayer online games (MMOGs). I designed peer-to-peer overlays that dynamically adapt to in-game events, such as player movements, in order to reduce the network latency perceived by the players. I also worked on large-scale data storage over distributed hash tables (DHTs).