About me

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My name is Daniel Perez. I am a software engineer and researcher based in London. I have been working on backend systems in various companies and I particularly enjoy writing in functional programming languages. More recently, I have been working on diverse machine learning tasks, mostly related to natural language processing.

I am currently a PhD student at Imperial College London, supervised by professor Ben Livshits. My current research theme is about how to secure distributed ledgers and their ecosystem. I focus mostly on using programming language techniques to improve the security of blockchains' virtual machines, as well as the applications running on top of them.
Before that, I received my Master's in Computer Science from The University of Tokyo under the supervision of professor Shigeru Chiba, during which I worked on applying machine learning techniques to programming languages.

I am sometimes open to freelance work, please feel free to contact me for more information.


Revisiting Transactional Statistics of High-scalability Blockchain with Jiahua Xu and Ben Livshits was featured on CoinDesk
The Decentralized Financial Crisis: Attacking DeFi with Lewis Gudgeon and other collaborators was accepted at CVC 2020
Fast-Fourier-Forecasting Resource Utilisation in Distributed Systems with Paul Pritz and Kin K. Leung was accepted at ICCCN 2020
Step on the Gas? A Better Approach for Recommending the Ethereum Gas Price with Sam Werner and Paul Pritz was accepted at MARBLE 2020
Broken Metre: Attacking Resource Metering in EVM with Ben Livshits was accepted at NDSS'20
Received a 5,000 USD bounty reward from the Ethereum Foundation with the help of Matthias Egli and Hubert Ritzorf from PwC Switzerland, for a report based on my Broken Metre paper

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