O'Donoghue SI, Gavin AC, Gehlenborg N, et al. Visualizing biological data-now and in the future. Nat Methods. 2010 7:S2-4.
Wong B, Kjægaard RS. Pencil and paper. Nat Methods. 2012 Nov;9(11):1037.
Santagata S, Mendillo ML, Tang YC, et al. Tight coordination of protein translation and HSF1 activation supports the anabolic malignant state. Science 2013;341(6143):1238303.
Yu C, Mannan AM, Yvone GM, Ross KN, et al. High-throughput identification of genotype-specific cancer vulnerabilities in mixtures of barcoded tumor cell lines. Nat Biotechnol. 2016;34:419-423.
Katz Y, Wang ET, Silterra J, Schwartz S, Wong B, et al. Quantitative visualization of alternative exon expression from RNA-seq data. Bioinformatics. 2015; 31:2400-2.
Berger AH, Brooks AN, Wu X, et al. High-throughput Phenotyping of Lung Cancer Somatic Mutations. Cancer Cell. 2016 Aug 8;30(2):214-28.
Bang Wong is creative director of the Broad Institute of MIT and Harvard working under the direction of Todd Golub, chief scientific officer and director of the Cancer Program. His work focuses on the effective exploration, communication, and presentation of complex data. Together with Noam Shoresh, they lead the Vis Skunkworks, a data visualization initiative at the Broad Institute.
Wong is the founding author of Points of View, a monthly article published by Nature Methods that deals with the fundamental aspects of data presentation. He also organizes international meeting series in Visualizing Biological Data. Beyond his role at the Broad Institute, Wong is affiliated with the Department of Art as Applied to Medicine at the Johns Hopkins University School of Medicine as an adjunct assistant professor.
Prior to joining the Broad Institute, Wong was the principal at the design consultancy ClearScience. He is a National Academy Kavli Fellow and holds a M.S. in immunology and an M.A. in medical and biological illustration, both from Johns Hopkins University School of Medicine. Full CV
Contact Bang Wong via email at email@example.com.