Mark Weber is 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, which he runs, Mark works closely with global leaders across multiple sectors on the creative challenge of bridging fundamental science to real-world impact. Mark also conducts applied research, publishing works on graph deep learning for anti-money laundering and blockchain technology for agricultural finance. He oversees strategic engagements with IDEO, the International Monetary Fund, and the Internal Revenue Service. Prior to IBM Research, Mark was a graduate researcher at the MIT Media Lab and a fellow at the MIT Legatum Center for Development & Entrepreneurship while he earned his M.B.A in finance from MIT Sloan. Before his foray into technology, Mark spent the first chapters of his career focused on political economy and development. He produced three documentary films on these subjects, most notably the critically acclaimed film Poverty, Inc. In his personal time, he is an avid reader and an ultramarathon trail runner. Learn more at www.markrweber.com and follow Mark at @markrweber.
Video: Anti-Money Laundering in Bitcoin: Experiments with Graph Convolutional Networks
In this paper presented at the KDD '19 Workshop on Anomaly Detection in Finance, Mark Weber shares the motivation and experimental results for new graph deep learning methods in financial forensics.
Video: Graph Learning for Anti-Money Laundering (NeurIPS 2018)
In this paper presented at the NeurIPS '18 Workshop on AI in Finance, Mark Weber motivates the societal problem of money laundering and explores opportunities presented by recent advances in graph deep learning methods.