Malte Möser
Staff Software Engineer at Chainalysis
Greater Philadelphia United States
Summary
🤩
Rockstar🎓
Top SchoolMalte Möser is a staff software engineer at Chainalysis with 11 years of experience combining deep academic research and production-grade blockchain engineering. He holds a PhD from Princeton where his dissertation, “Cryptocurrency Privacy in Practice,” explored the interdependent nature of privacy in cryptocurrencies and informs his work on protocol research and privacy-focused analysis. At Chainalysis he moved from senior to staff engineer, applying his expertise to smart contract blockchains and investigative tooling while contributing to high-performance open-source projects like BlockSci. His background spans academic collaborations (Cornell, Münster), industry audits at Deloitte, and hands-on back-end development identifying Bitcoin change-address heuristics—an uncommon mix of theoretical depth and practical heuristics engineering. Based in Greater Philadelphia, he focuses on building auditable, scalable systems for cryptocurrency analysis and detection.
11 years of coding experience
15 years of employment as a software developer
Master of Science - MS Information Systems, Master of Science - MS Information Systems at University of MünsterDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Princeton University
Github Skills (6)
c-language10
cprogramming-language10
blockchain10
algorithms9
python8
testing7
Programming languages (5)
Github contributions (5)
citp/BlockSci
Nov 2017 - Nov 2020
A high-performance tool for blockchain science and exploration
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 291 commits, 93 PRs in 3 years
Contributions summary:Malte primarily contributed to the development of a high-performance tool for blockchain science and exploration. Their work involved implementing change address heuristics, specifically focusing on identifying potential change outputs within Bitcoin transactions. The commits include the addition of various change address heuristics and the refactoring of the codebase. They made updates to the Python interface and tests, and improved various methods.
scienceblockchainperformanceblockchain-networkhigh-performance
maltemoeser/BlockSci
Nov 2017 - May 2022
A high-performance tool for blockchain science and exploration
Contributions:203 pushes, 73 branches in 4 years 6 months
scienceblockchainperformanceblockchain-networkhigh-performance
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