Michael Segala is the CEO and co-founder of SFL Scientific, a data science consulting firm that specializes in big data solutions. His firm leverages advanced machine learning and analytics techniques to provide insight into numerous industry-spanning problems, from healthcare to stock market prediction. Before founding SFL Scientific, Michael worked as a data scientist in several well-known tech companies, such as Compete Inc. and Akamai Technologies. He holds a PhD in Particle Physics from Brown University.
Modern Approaches to Finance