Nathan has always been interested in how technology can improve the human experience. He was drawn to study biotechnology in college, where he worked to research protein localization in plants and to build open-source software to model bacteriophage genomes. After graduating he joined a start-up drug development company focused on building better translational disease models. There he worked on the technical challenges of building multi-dimensional tissue systems and helped successfully develop first in class tumor and liver disease systems. From there he joined the computational biology group were he focused on building reproducible analysis pipelines and front-ends for exploring high-dimensional data. He is excited to bring his R&D experience and analytics expertise to the challenging problems of search relevance.
Outside of OSC projects, Nate enjoys being a part of the R community as a certified R-Studio educator and maintainer of the boxr package. Nate lives in Charlottesville with his wonderful partner Sam and two bad dogs, Zander and Prince.
- Statistical testing
- Linear modeling