Deep learning methods for population genetic analysis

Advisor - Prof. Andrew Kern, Institute of Ecology and Evolution, University of Oregon

Neural Network Schematic

With the advent of large scale genomic databases, various machine learning methods have become ideal approaches for tackling various problems in population genetics. I am currently working on developing and implementing deep learning methods for approaching problems in population genetics.

Deep Learning in Genomics Current Research Interests