Daifeng Wang is an Assistant Professor in Department of Biostatistics and Medical Informatics and an Investigator in Waisman Center at the University of Wisconsin–Madison. He obtained his Ph.D. degree in Electrical and Computer Engineering at the University of Texas at Austin in 2011. After that, he joined Dr. Mark Gerstein’s lab in Yale University as postdoctoral associate and associate research scientist from 2012 to 2016. His research focuses on developing interpretable machine learning approaches and bioinformatics tools to analyze multi-omics data for understanding functional genomics and gene regulation in the human brain. He is currently working on deciphering single-cell functional genomics for deep phenotypes for brain diseases such as neurodevelopmental and neurodegenerative diseases, aiming to discover the regulatory mechanisms and genomic engineering principles for achieving precision medicine.