Auburn Engineering PhD student applies deep learning to biomedical data for Google Summer of Code project
Published: May 24, 2019 6:53 AM
By Chris Anthony
Auburn Engineering doctoral student Ye Wang was chosen to participate in the Google Summer of Code, a global program that allows students to immerse themselves in open-source software development.
The program will allow Wang to work alongside two mentors on a software project titled “Tree-regularized convolutional Neural Network (tCNN) for microbiome-based prediction.” Wang’s research focuses on deep learning, a subset of artificial intelligence and machine learning, and its application in biomedical data, particularly for large-scale omics data and population-based epidemiological data.
With the development and decreasing cost of next-generation sequencing technologies, the study of the human microbiome has become a growing research field as it can be applied to large clinical applications such as drug response predictions, patient stratification and disease diagnosis. Wang’s summer project will aim to improve this field and bolster his doctoral research in hopes of being published in a future conference.
For his project, Wang will be mentored by Li Chen, assistant professor of health outcomes research and policy at Auburn University, and Jun Chen, associate professor of biostatistics at the Mayo Clinic.
Since its inception in 2005, the Google Summer of Code program has brought together more than 14,000 student participants with 24,000 mentors from more than 118 countries. Wang’s project is just one of 1,272 projects Google is funding this year across 206 open-source organizations.
Media Contact: , chris.anthony@auburn.edu, 334.844.3447
Li Chen (left) and Ye Wang