Jonathan is a senior research scientist at Equideum Health.
He currently leads the R&D arm of Equideum, where the team focuses on privacy-preserving machine learning and decentralisation. Jonathan is exploring the potential of bringing together techniques such as Collaborative Learning and Blockchains to build a new generation of healthcare systems. He has grown a strong expertise in Secure Computing (Trusted Execution Environments - TEEs, FHE, …), Federated Learning and Verifiable Computing (TEEs, Zero-Knowledge Proofs, …) to enhance machine learning deployments with these Privacy Enhancing Technologies.
Jonathan is also a research fellow at Imperial College London (BioMedIA) and City, University of London (CitAI) where he co-supervises MEng, MSc and PhD students on the topics Privacy-Preserving Machine Learning and Federated Learning.
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
Tue, Sep 7, 2021, EEA Trusted Compute WG Monthly Webinar
Wed, Aug 25, 2021, IEEE Healthcare: Blockchain & AI Virtual Series presents Healthcare Data Valuation – Aug 25, 2021
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.