Mark Weber
Research Scientist, MIT-IBM Watson AI Lab

Mark Weber is a research scientist at the MIT-IBM Watson AI Lab, where he develops new graph analytics methods for anti-money laundering. His expertise is in connecting dots across disciplines to develop emergent technologies for positive real-world impact. Previously, he was at the MIT Media Lab working at the digital currency initiative, where he led the development of the b_verify protocol for publicly verifiable records, focused on warehouse receipts in agricultural supply chains; he produced documentary films on political economy and development, most notably Poverty, Inc., winner of over 50 film-festival honors and the $100,000 Templeton Freedom Award (available on Netflix and other platforms. He earned his MBA in finance from the MIT Sloan School of Management, where he was a fellow at the Legatum Center for Entrepreneurship and Development. As a public speaker, Mark enjoys opportunities to share his research and learn from others. He’s delivered talks at over 100 top universities, organizations, and events around the world. He can be found on Twitter as @markrweber.

Sessions

2:35pm–3:15pm Wednesday, September 11, 2019

Location: LL21 C/D

Fighting crime with graph learning

Models and Methods

Secondary topics: Machine Learning

Mark Weber (MIT-IBM Watson AI Lab)

Average rating:

(4.00, 3 ratings)

Organized crime inflicts human suffering on a massive scale: upward of 700,000 people per year are "exported" in a $40 billion human-trafficking industry enslaving an estimated 40 million people. Such nefarious industries rely on sophisticated money-laundering schemes to operate. Mark Weber explores how a new field of AI called graph convolutional networks can help. Read more.