IGERT Graduate Student – cohort 3
Biological Sciences, Data Management, Informatics, Machine Learning
Computer Science & Engineering
Advisor: Bill Noble
Advisor: Jeffrey Bilmes
Jacob Schreiber is a Ph.D. student and IGERT big data fellow in the Computer Science and Engineering department at the University of Washington. He focuses on computational biology, in particular the application and development of scalable machine learning algorithms to questions arising in genome science.
Schreiber investigates the three-dimensional structure of the genome, and how it can be used in bioinformatics. His current project is developing neural networks which can predict contact maps for the genome using DNA sequence and low level sequence information. This seems to work surprisingly well.
Watch Schrieber’s talk ‘Pomegranate: Fast and flexible probabilistic models in Python’ on YouTube.