His main efforts are towards reducing the number of « knobs » that big data system users have to set before getting the best performance and cost. In particular, Malo works on the dynamic work rebalancing and autoscaling features. Previously, Malo Deniélou was a lecturer at Royal Holloway, University of London, where he worked on the theory of distributed systems.