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.
David Chan, PhD
Flavio de Andrade, PhD
Chengui Cai, PhD
Mahsiul Khan, PhD
Global Algorithmic Institute
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.
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.
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.
Horst Simon, PhD
Marcos Lopez de Prado, PhD
John Wu, PhD
David Leinweber, PhD
Richard V Rothenberg
David Bailey, PhD
David Demers, PhD