top of page

Bio

Martin Minnoni is a Mathematician and Economist from the Massachusetts Institute of Technology.

 

He is a former IMF researcher in the Strategic Issues Division and former head of the quant group at a large bank in Argentina. 

 

He has over 15+ years of experience in building tech product companies in the telecommunication, financial services and retail sectors.

 

He is a world consultant in Big Data Analytics and Blockchain; and the development of monetization products on top of complex integrated datasets from different industries. He is responsible for creating the Human Dynamics AI framework that sits at the core of several successful commercial products.

 

Martín has led the Labs, Core Data Science, and product development teams at different companies and has grown them to over hundreds of extremely talented collaborators of diverse backgrounds from Computer Engineers to Neuroscientists and Physicists. He also leads academic collaborations with the scientific ecosystem around the world with partnership with universities like MIT, Berkeley, INRIA, and many others.

 

He has over 50+ publications in peer-reviewed journals and prizes from KDD for best paper in social networks analytics.  He has given public speeches to audiences of over 500+ people on AI and Big Data, Data Monetization, Blockchain, Social Good, and Financial Inclusion in the US,  Greece, Panama, Mexico, South Korea and Argentina.

 

He has Argentinian and Italian citizenship. He is bilingual in Spanish and English. He is married and lives between Argentina and the United States of America.

Executive Competencies Include

  • Data & Marketplace Research.

  • Data Science Lab Creation & Leadership.

  • Platform and Product Vision and Design (B2B & B2C).

  • Lab Management and Creation.

  • Technical Team Building, Developing, and Leading.

  • Regulatory and Privacy Compliance.

  • Fundraising & Business Strategy.

  • Cross-Functional Team Leadership.

  • Infrastructure and Database Development.

  • Cost Reduction and Containment.

  • Engage Academic Collaborators.

  • Blockchain Experience in Exchanges, Markets, Token Economics, Auditing, etc.

  • Holistic view on problems with a Hacker Approach. 

  • Public Speaking.

bottom of page