Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
Mark Weber is (@markrweber) the Strategy & Operations Lead at the MIT-IBM Watson AI Lab, a $250 million partnership funding over 200 scientists making fundamental breakthroughs in AI. Through the lab’s corporate Membership Program and Advanced Prototyping Team, which he leads, Mark works closely with global industry leaders on the creative challenge of bridging core AI science to real-world impact. Prior to IBM Research, Mark earned his MBA from MIT and conducted applied research in blockchain technology at the MIT Media Lab’s Digital Currency Initiative, where he led the group’s engagements with member companies and governments. Mark has published works in top peer-reviewed venues in both business and technology, and speaks to diverse audiences around the world on the topics AI, blockchain, and sustainable development.
Scalable Graph Learning for Anti-Money Laundering: A First Look
Publications with the MIT-IBM Watson AI Lab