About Daniel
Je m'appelle Daniel Perez. Je suis un ingénieur logiciel et chercheur basé à Londres. Ces jours-ci, je travaille principalement sur les systèmes blockchain et les smart contracts.
J'ai une longue expérience dans divers types de développement tels que frontend, backend, ou encore machine learning.
Je détiens un doctorat de Imperial College London, pendant lequel je me suis spécialisé dans la sécurité des sytèmes blockchains, et un master de l'Université de Tokyo, avec une spécialisation dans l'applications du machine learning aux langages de programmation.
French
Native or bilingual
English
Native or bilingual
Japanese
Native or bilingual
German
Conversational
Spanish
Conversational
Remote only
Primarily works remotely
Experience
- GyroscopeCo-FounderMay 2021 - Today (5 years and 1 month)London, UKLeading the development of Gyroscope, an asset-backed, autonomous stablecoin and enduring foundation for liquidity
- MeroCo-FounderFebruary 2021 - Today (5 years and 4 months)London, UKLeading the development of Mero, a trustless reactive liquidity protocol where users can earn yield and register actions to dynamically manage their liquidity.
- Imperial College LondonGuest LecturerOctober 2023 - Today (2 years and 8 months)London, UKCo-leading the teaching of the Principle of Distributed Ledgers course. The course talks about the foundational principles behind decentralised ledgers as well as the current research in cryptocurrencies.
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Education
- Doctor of Philosophy - PhD, Computer ScienceImperial College London2023Worked and contributed to improving the security of various parts of the blockchain stack, from the execution to the application layer. See the https://scholar.google.com/citations?user=W2XsCqwAAAAJ for a list of published papers.
- Master of Science in Computer ScienceThe University of Tokyo2018Worked on cross-language source code clone detection using semi-supervised learning. Created a new clone detection dataset for this task and implemented a model able to detect cross-language clones missed by state-of-the-art tools. Work was presented at Mining Software Repositories 2019.