Alejandro Ranchal-Pedrosa | Protocol Labs Research
Alejandro Ranchal-Pedrosa
Research Scientist/ ConsensusLab
Education
PhD student in Blockchain Technologies, 2019–2022
The University of Sydney
MSc in User-Centric Networking, 2017-2018
Sorbonne Université
MSc in Internet Technologies & Architecture, 2016-2017
Technische Universität Berlin
Minor in Innovation and Entrepreneurship, 2016-2018
EIT Digital Master School
BSc in Mathematics and Computer Science, 2012-2016
Universidad Politécnica de Madrid
Alejandro’s interests lie in the intersection of Distributed Computing, Game Theory, and Applied Cryptography that occurs at the Blockchain space. He is currently awaiting the final review of his PhD in Blockchain Technologies at The University of Sydney.
Before Protocol Labs, Alejandro worked at CEA Paris proposing protocols for scaling payment channels networks, as well as at IMT Paris and UAB Barcelona, where he found two critical attacks common to the Lightning Network and all its implementations. During his PhD, he worked on scaling Blockchains through subnets, increasing Blockchains' security through novel faults and game theoretical models, and enhancing Blockchains’ decentralization via committee sortition proposing novel random beacon protocols.
Areas of Expertise
- Distributed Computing
- Game Theory
- Applied Cryptography
- Tokenomics
Talks
2024-02-27
F3 and GossipBFT: Fast finality on longest-chain protocols
ETHDenver 2024 / 2024.02.27 / Denver, CO, USA
Alejandro Ranchal-Pedrosa
ConsensusLab
Distributed systems
Blog posts
2023-04-20/News
IPC subnets land on Filecoin Spacenet
The Interplanetary Consensus framework (IPC), formerly known as Hierarchical Consensus, addresses two challenges of blockchain networks, transaction volume and application heterogeneity. In doing so, it boosts the capabilities of the Filecoin network.
James Bluett, Alfonso de la Rocha, Akosh Farkash, Guy Goren, Denis Kolegov, Willes Lau, Henrique Moniz, Matej Pavlovic, Alejandro Ranchal-Pedrosa, Jorge M. Soares, Marko Vukolić
ConsensusLab
Distributed systems