Meet the Team
Our expert team brings together leaders in the fields of finance, Big Data & AI, quantitative investing, and sustainable development strategy.
The Global Algorithmic Institute at GlobalAI Co.
Working Together to Deliver on Sustainability
The Institute is a not-for-profit think tank within GlobalAI, a Big Data organization which uses state-of-the-art artificial intelligence, NLP and statistical models to advise institutional investors, governments and corporations.
Our Executive Team
Richard V. Rothenberg | President
Miquel Noguer Alonso, PhD | Chief Development Officer
Geert Bekaert, PhD | Chief Research Officer
Tai Young-Taft, PhD | Senior Advisor
Our Board of Directors
Horst Simon, PhD
Marcos Lopez de Prado, PhD
John Wu, PhD
Thomas Brigandi, CFA
David Leinweber, PhD
David Bailey, PhD
David Demers, PhD
Some of our Board of Directors are affiliated with the Lawrence Berkeley National Laboratory
Our Awards
GlobalAI was a winner in the Innovation & Entrepreneurship Program at Columbia University. The Institute was chosen for highly selective prizes which seeks to empower AI research to tackle some of the world’s greatest challenges.
Our Story
Our team originated from the time of the Flash Crash in 2010, when a team of high frequency algorithmic traders and top scientists were convened by Dr. Leinweber, a Harvard Physicist affiliated with the Lawrence Berkeley Lab, one of the world’s largest supercomputing laboratories with 13 Nobel Prizes associated with the Lab.
The team was created to help the US Government and the Federal Reserve better understand the reasons behind the Flash crash and potential systemic risk and spillover implications, in a time where big data and AI was nascent in financial markets.
In 2014, we decided to create the GAI NGO to go beyond the original mandate of analyzing financial systemic risks with a US-centric perspective and incorporate risk vectors at a global level – across environmental, socio-economic, geo-political and other dimensions – and which require large-scale big data and machine intelligence.
Then in 2015, the emergence of the SDGs provided us with a framework and a taxonomy to quantify and classify global risk factors with investing, corporate-alignment and policy implication.
In late 2017, we launched GlobalAI Co., a social enterprise focused on developing AI-driven datasets and analytics with a focus on sustainable finance.
Through this social enterprise approach, we’ve been able to support the NGO and implement large-scale big-data projects across multiple UN agencies and contribute to the advancement of the SDGs.
