Jacob Schreiber is a postdoctoral researcher working with Anshul Kundaje at Stanford University. His research involves better understanding cellular development and regulatory genomics by analyzing massive amounts of genomics data. In particular, his research involves using modern machine learning methods to integrate data from different modalities and sources to make predictions that would not be possible using any of these data sets alone.