Javier is a research scientist at Flower Labs and the creator of the Flower Simulation Engine. The Flower Simulation Engine allows running Federated Learning workloads in a resource-aware manner and to scale these to thousands of active clients through an intuitive Python API. Javier's interests lie in the intersection of Machine Learning and Systems and, more concretely, running on-device ML workloads, a key component in Federated Learning. Javier often writes about running ML on embedded devices such as Raspberry Pi or NVIDIA Jetson. Javier got his PhD in Computer Science from the University of Oxford in 2021. Before joining Flower Labs, Javier worked as a research scientist at Samsung AI (Cambridge, UK)