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Mark Weber

Researcher | Investor | Adventurer

Mark Weber is an applied AI researcher, early-stage investor, and well-rounded individual with a diverse background in business, technology, and film production.

With experience at prestigious institutions like IBM Research, the MIT-IBM Watson AI Lab, and the MIT Media Lab, Mark has a strong track record of leading productization teams and contributing to research in areas such as graph deep learning and algorithmic fairness.

Beyond his professional achievements, Mark has a passion for international development, showcased through his work on the award-winning film Poverty, Inc., and his involvement with the Harambe Alliance of African Entrepreneurs.

Mark's educational background includes an MBA in Finance from the Massachusetts Institute of Technology (MIT) and a Bachelor's degree in the Program of Liberal Studies from the University of Notre Dame.

In addition to his work in the tech and investment sectors, Mark is an avid adventurer with interests in ultramarathon running, free diving, backcountry skiing, chess, and adventure motorcycling.

Highlights

Sep 19 · linkedin

Honored to keynote the AI for Financial Crime event kicking off the European Conference on Machine Learning, alongside Dr. Jiaxuan You whose leading work with PyG and dynamic graphs I greatly admire.

Criminal enterprises like human trafficking rely on complex money laundering schemes to function and graph deep learning is a powerful tool for detecting such illicit activity. This has been a research interest of mine for several years now since publishing a paper called "Anti-Money Laundering in Bitcoin" with Elliptic and the MIT-IBM Watson AI Lab. The paper has 300 some citations and the dataset has been downloaded 10K times, but honestly I was feeling discouraged about the prospects of real world impact. Yesterday I felt rejuvenated by passionate practitioners sharing their progress and encouraging us about our role in illuminating the art of the possible. Special gratitude as well to conference keynote Max Welling whose foundational work in Graph Convolutional Networks with Thomas Kipf served as the foundation for our applied work in this space.

My slides are available here: https://lnkd.in/eSjM__eW

Mark Weber
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Location

Cambridge, Massachusetts, United States