Nate is a Bioinformatics and Computational Biomedicine (BCB) PhD candidate and OSLER TL1 pre-doctoral fellow at OHSU. He received a B.S. in Biological Physics from the University of Washington in 2015 and spent several succesive years as an Mechanical Design Engineer in biotech developing a lung cancer diagnostic device.

At OHSU, Nate's work has revolved around predicting cancer drug response in-vitro using high-throughput screening data and machine learning. His current projects involve developing novel deep learning methods to predict how cancer cell line expression patterns change in response to drug or genetic perturbations, and focuses on incorporating heterogenous sources of prior knowledge. Succesful development of this algorithm will lead to applications in drug combination priortization for pre-clinical testing.