Francesco is the co-founder and CEO of Brain, a company focused on the development of algorithms for trading strategies and investment decisions. He obtained his Ph.D. in Computational Methods applied to Quantum Physics from Uppsala University in 2010. He focused his career in solving complex computational problems in different sectors using a wide range of techniques, from density functional theory in solid state physics to the application of machine learning in different industrial sectors.

Asset Classification Based on Machine Learning Techniques
Brain has developed a set of models based on machine learning methods to statistically classify assets that are more likely to have a positive/negative return over the following time period. Input data can be conventional series (fundamentals, financial time series) or non conventional series such as, for instance, sentiment indicators or signals coming from other proprietary models. This approach can be used for multi-stock trading strategies as well as for tactical asset allocation models.

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