Bernardo Ramos is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.
Research Area: Finance
Research Abstract: Bernardo Ramos' current research interests are focused in the application of large-scale machine learning in financial applications. Currently, he is proposing a new technique that can make deep learning architectures be able to effectively make classification tasks to time series data. The main envisioned application is processing microsecond Limit Order Book (LOB) data for predicting future LOB behavior.