Daifeng Wang obtained his B.S. degree in electronics and information engineering at the Huazhong University of Science and Technology and his Ph.D. degree in electrical and computer engineering at the University of Texas at Austin. He completed postdoctoral training in bioinformatics in the laboratory of Mark Gerstein at Yale University. He is currently an associate professor in the Departments of Biostatistics and Medical Informatics, and Computer Sciences (affiliate), and an investigator at the Waisman Center at the University of Wisconsin-Madison.

Wang’s research focuses on developing machine-learning approaches and bioinformatics tools to analyze emerging multimodal data for predicting molecular, cellular and clinical phenotypes and understanding underlying functional genomics and gene regulation in neurodevelopmental and neurodegenerative conditions.