There are no uninteresting things, only uninterested people.
G. K. Chesterton
I am CEO of TAC ECONOMICS, a company dealing with issues related to innovative research in economy, finance and risk analysis.
The company is based in France and has its head office in a 15th century house in the Brittany countryside, 2 hours west of Paris. This not only allows us to enjoy a wonderful and peaceful work environment, but more importantly avoid mimetic and herd instinct behaviour that are so common when researchers work in core financial centres.
Associate professor at the University of Rennes and Lecturer at HEC Paris, notably in the field of artificial intelligence, machine learning and data-science & big data, applied to economic analysis, forecasting, macroeconomic modeling and early warning systems.
Forecasting Financial Markets
Forecasting Financial Markets is an international conference on quantitative finance, which has been held every year since 1994. Since its inception, the conference has become a key international meeting point for those interested in quantitative finance, with the participation of quantitative market professionals and of prestigious academic and research institutions from all over the world including major central banks and quantitative fund managers.
Since 2017, most of my research topics are directly or indirectly oriented towards the use of advanced AI (deep learning, convolutional neural networks, generative adversarial networks,…), text mining and unsupervised machine learning in economic forecasting, quantitative finance, risk analysis and early warning systems.
Here (on the right) an illustration of 25 AI artificial paintings produced by LouisIA, an algorithms of my own, trained on most famous Leonardo da Vinci paintings.