Daniel specializes in blockchain security audits across various verticals.
He has conducted academic research in automated analysis, specifically within mobile ecosystems such as iOS and Android.
In addition to his academic accomplishments, Daniel brings years of software engineering experience from IMDEA, where he developed a library detection system for iOS applications. He also has experience teaching cybersecurity and data protection at the Schaffhausen Institute of Technology.
Daniel is a PhD candidate in Computer Science at the University of Verona.
At Veridise, Daniel serves software engineer and security auditor, with extensive experience in auditing smart contracts and zero-knowledge applications. Daniel has particular experience with fuzzing analysis.
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