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.
