Daifeng Wang, PhD

Associate Professor, Biostatistics & Medical Informatics

Daifeng Wang, PhD

PhD, University of Texas – Austin

Contact Information

Waisman Center
1500 Highland Avenue
Room 543a
Madison, WI 53705

Research Statement

My research focuses on developing interpretable machine learning approaches and bioinformatics tools to integrate and analyze multi-omics data for understanding functional genomics and gene regulation in the human brain; e.g., he recently developed interpretable deep neural network modeling for single-cell deconvolution and genotype-phenotype prediction to reveal the molecular mechanisms and functional pathways in human brain disorders. My research has also been applied to comparative genomics; e.g., I designed novel comparative network clustering methods to uncover conserved and species-specific developmental gene regulatory networks and expression patterns across model organisms. I am currently working on deciphering the functional genomics for deep phenotypes across brain diseases such as neuropsychiatric and neurodegenerative diseases, aiming to discover the regulatory mechanisms and genomic engineering principles for precision medicine.

Selected Publications

  • Gandal MJ, Zhang P, Hadjimichael E, Walker RL, Chen C, Liu S, Won H, van Bakel H, Varghese M, Wang Y, Shieh AW, Haney J, Parhami S, Belmont J, Kim M, Moran Losada P, Khan Z, Mleczko J, Xia Y, Dai R, Wang D, Yang YT, Xu M, Fish K, Hof PR, Warrell J, Fitzgerald D, White K, Jaffe AE; PsychENCODE Consortium, Peters MA, Gerstein M, Liu C, Iakoucheva LM, Pinto D, Geschwind DH. (2018). Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder. Science, 362(6420). pii: eaat8127. doi: 10.1126/science.aat8127.

  • Wang D, Liu S, Warrell J, Won H, Shi X, Navarro FCP, Clarke D, Gu M, Emani P, Yang YT, Xu M, Gandal MJ, Lou S, Zhang J, Park JJ, Yan C, Rhie SK, Manakongtreecheep K, Zhou H, Nathan A, Peters M, Mattei E, Fitzgerald D, Brunetti T, Moore J, Jiang Y, Girdhar K, Hoffman GE, Kalayci S, Gümüş ZH, Crawford GE; PsychENCODE Consortium, Roussos P, Akbarian S, Jaffe AE, White KP, Weng Z, Sestan N, Geschwind DH, Knowles JA, Gerstein MB. (2018). Comprehensive functional genomic resource and integrative model for the human brain. Science, 362(6420). pii: eaat8464. doi: 10.1126/science.aat8464.