Matthieu Nadini - data scientist Elliptic

Matthieu Nadini – data scientist Elliptic

Matthieu is a data scientist at Elliptic with a focus on data-driven analysis of multiple blockchains, specializing in Bitcoin and Ethereum behavioral patterns and NFT trading behavior. He has conducted research on blockchain technology and NFTs at City University of London and The Alan Turing Institute. He holds a PhD in Engineering from New York University, which he completed in 2020.

I analysed several datasets in Python and conceived mathematical models to find their relevant structures. I detected the individuals that are strong work collaborators in a workplace environment. I coded the mathematical models in Python and C++

He co-mentored a total of four undergraduate students and one master student. He is the instructor of several laboratories, for a total of 138 students.

Working at Dynamical Systems Laboratory (DSL) on ‘Network-based modeling of infectious disease epidemics in a mobile population’ under the supervision of Prof. M. Porfiri and A. Rizzo.

Latest reviews by Matthieu Nadini
NFT Scams, Thefts and Financial Crime. Market Manipulation, Scams & Sanctions Risks in Non-Fungible Tokens" class="attachment-csco-thumbnail size-csco-thumbnail wp-post-image" alt="NFT Thefts and Financial Crime. Types of Scams in Non-Fungible Tokens">
NFT Thefts and Financial Crime. Types of Scams in Non-Fungible Tokens
The prevalence of scammers on online NFT communities remains a key issue for traders and marketplaces, and can result in millions of dollars worth of asset losses with a few seconds
NFT Beeple" class="attachment-csco-thumbnail size-csco-thumbnail wp-post-image" alt="NFT Use Cases: Digital Artwork, Fundraising, Metaverse, Exclusive Membership & Gaming">
NFT Use Cases: Digital Artwork, Fundraising, Metaverse, Exclusive Membership & Gaming
NFT marketplaces must be proactive in risk management to mitigate these repetitional risks and issues. Sanctions screening solutions are also becoming increasingly essential for NFT-based platforms