Jonathan is a senior research scientist at Flashbots (https://www.flashbots.net/). 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](https://biomedia.doc.ic.ac.uk)) and City, University of London ([CitAI](https://cit-ai.net)) where he co-supervises research students on the topics Privacy-Preserving Machine Learning and Federated Learning. He formerly lead the R&D arm of ConsenSys / Equideum Health (https://equideum.health/), where the team focuses on bringing together privacy-preserving machine learning and blockchains to build a new generation of healthcare systems.
