Global Algorithmic Institute


We are non-profit Think Tank dedicated to developing advanced algorithms that serve the international public good, with a focus on promoting global financial stability and sustainable finance through the implementation of big data and dynamic algorithms. 

Our team of researchers and advisors have extensive experience in the fields of quantitative finance and algorithmic trading, and combine multiple theoretical and applied approaches that allow the generation of innovative algorithmic solutions to pressing world problems related to financial stability and sustainable finance, with a focus on the U.N Sustainable Development Goals.

This includes advanced predictive models based on fundamental and unstructured data derived from market sentiment and human experts in combination with market, economic and alternative time series data.  


About Us

Quantitative Researchers

David Chan, PhD

Flavio de Andrade, PhD

Chengui Cai, PhD

Mahsiul Khan, PhD

Peter Engel

Advisory Board

Rajeev Ranjan, Federal Reserve Bank

Global Algorithmic Institute



Our Mission

Promote Global Financial Stability and Sustainable Finance through Big Data techniques

We apply state-of-the-art big data and algorithmic techniques to generate innovative solutions that can improve global financial stability and catalyze sustainable finance. 


02. Advanced R&D for Algorithmic Development

Our team of researchers leverage their combined experience and specialized skills across machine learning and advanced statistics in order to research and develop advanced algorithms.


03. Multidisciplinary Skills and a Global Approach

The Global A.I. think Tank uses a multidisciplinary approach and a global mindset to approach problems that are relevant for the world economy and the society as a whole. 

Board of Directors 

Horst Simon, PhD

Marcos Lopez de Prado, PhD 

John Wu, PhD

David Leinweber, PhD

Richard V Rothenberg

David Bailey, PhD

David Demers, PhD