Jonathan is a senior research scientist at Flashbots.
He is exploring the application of Privacy Enhancing Technologies to solve hard problems such as decentralised collaborative learning and Maximum Extractable Value (MEV) in blockchains. He has grown a strong expertise in Secure Computing (Trusted Execution Environments - TEEs, FHE, …), Federated Learning and Verifiable Computing (TEEs, Zero-Knowledge Proofs, …).
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.
He formerly lead the R&D arm of ConsenSys / Equideum Health, where the team focuses on bringing together privacy-preserving machine learning and blockchains to build a new generation of healthcare systems.
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.