Research at
Matter Labs
Our mission
At Matter Labs, our research focuses on high-risk, high-reward endeavors that may not always align with our engineering roadmap. Over time, some of these projects are integrated into our products (following the traditional tech transfer model), while others serve to advance the industry as a whole.
The objective of our research is to gain external recognition through publications and insightful articles, thereby enhancing our academic credibility. Our outputs vary widely, ranging from draft papers on ArXiv to visionary articles published on our blog, as well as presentations at academic and industry conferences.
Research cultivates extensive engagement with academic circles, encompassing collaborative projects, publications, postdoctoral positions, visiting professorships, and more.
We aim to leverage external research expertise to bolster Matter Labs' visibility and bring forth the best innovations. To give our work the broadest recognition, we also aim to publish in top-tier venues, such as IEEE S&P, Crypto, FC, and others.
Areas of experise
Inventives and
mechanism design *
Verification and
programming languages <
Data and machine learning
applied to blockchain /
Privacy, languages and
verification !
Distributed
ststems _
Cryptography and
zero knowledge #
Data analysis, governance,
and incentive design
Overall harmony
and good cheer >
Researchers +
and engineers
Aviv Yaish
Research consultant
Incentives and mechanism design
THe Hebrew University of Jerusalem
Denis Firsov
Research scientist
Verification and programming languages
TalTech - Tallinn University of Technology
Johnnatan Messias
Research scientist
Data and machine learning applied to blockchain
Universität des Saarlandes
Marco Stronati
Senior research scientist
Privacy, languages, and verification
École Polytechnique
Matej Pavlovic
Research scientist
Distributed systems
École polytechnique fédérale de Lausanne
Matteo Campanelli
Research scientist
Cryptography and zero knowledge
City University of New York
Maria Inês Silva
Research scientist
Data analysis, governance, and incentive design
NOVA IMS Information Management School
Antonio Locascio
Research engineer
Data analysis, governance, and incentive design
Universidad Nacional de Rosario
Ben Livshits
VP of Research
Overall harmony and good cheer
Stanford University
Papers >
Changing core infrastructure is challenging and expensive. Invest in reliable tech that's at the forefront of innovation.
zk-Bench: A Toolset for Comparative Evaluation and Performance Benchmarking of SNARKs
2019
Jens Ernstberger
Stefanos Chaliasos
George Kadianakis
et al
1/5
Working with others _
Research fosters Interactions with academics — this includes joint projects, publications, postdoc and visiting professor activities, etc.
This is to bring in the best of external research to MatterLabs to enhance the visibility of the company. We aim to publish in top-tier venues, such as IEEE S&P or Crypto or FC or OSDI.