Jonathan is a research scientist at ConsenSys Health and Imperial College London.
His current research at ConsenSys Health focuses on privacy preserving machine learning and decentralisation. Jonathan is exploring the potential of bringing together techniques such as Federated Learning and Blockchains to build a new generation of healthcare systems. He is growing a strong expertise on Secure Computing (Trusted Execution Environments - TEEs, MPC, …) and Verifiable Computing (TEEs, Zero-Knowledge Proofs, …) with the goal to enhance machine learning deployments with these privacy preserving technologies.
At Imperial, Jonathan works in the BioMedIA group, under Prof. Daniel Rueckert, where he’s leveraging distributed computing for AutoML. This project encompasses model selection, neural architecture search and hyperparameter tuning using a various range of methods. This is done in collaboration with the Complex Systems Institute, Paris in the context of the OpenMOLE project.
PhD in High Performance Computing, 2013
Blaise Pascal University, France
MEng in Computer Science, 2010
BSc in Computer Science, 2007
Institut Universitaire et Technologique, Clermont-Ferrand, France
(A full list is available here: https://orcid.org/0000-0003-3178-9502
Wed, Oct 21, 2020, Digital Catapult masterclass
Wed, Oct 14, 2020, City University London, UK - CitAI seminar series
Wed, Jul 22, 2020, AI for Health News
Wed, Sep 4, 2019, EU Blockchain forum
Mon, Jul 10, 2017, ScalaX bytes meetup
Fri, Dec 9, 2016, Scala eXchange 2016
Donaco is an Imperial College London based startup that aims to facilitate online donations using machine learning.
OpenMOLE scientific platform, decentralised model exploration and parameter tuning on the iEx.ec network
Exploration, calibration and diagnosis of numerical model leveraging distributed computing environments.