Biography:
Dr. Song received his Ph.D. degree of Bioinformatics from University of North Carolina at Charlotte. After that he pursued his postdoc research on protein structure prediction and demographic structures of human populations in the new world. Currently Dr. Song is a staff scientist in National Center for Biotechnology Information, NIH. His research interests focus on the heterogeneity of tissue-specific enhancers in human genome, including identification of the primary enhancers and predicting disease causal variants using deep learning, hierarchical structure in a multi-element regulatory program and 3D chromatin contacts of the enhancer-gene networks.
Title : Predicting noncoding disease causal mutations in central nervous system through deep learning