Dr Pang joined the School of Public Health in 2013 after working as an assistant professor for over five years in the Department of Biostatistics and Bioinformatics at Duke University.  He was promoted to an associate professor with tenure in 2019. He obtained his PhD in Biostatistics from Yale University in 2008 and BA in Mathematics and Computer Science from the University of Oxford in 2002.

His primary research interests include big data, biomarker discovery in clinical studies, cancer genomics, classification, data science, design and analysis of clinical trials, machine learning, meta-analysis, metagenomics, multi-omics data integration, predictive models, and translational medicine.  He was a principal investigator on an NIH R21 grant entitled ‘Translational Meta-analysis for Elderly Lung Cancer Patients’ from the National Institute on Aging. He is currently a principal investigator on an RGC grant entitled 'A Familial Meta -Omics Study of the Cutaneous Microbiome in Psoriasis'.

Dr Pang has published over 100 methodological and translational peer-reviewed research articles on statistics, genetics, genomics, bioinformatics, and clinical trials.  From January 2012 to December 2014, he served on the editorial board of the Journal of Clinical Oncology.  He has also contributed as a reviewer for over 40 leading journals, such as Annals of Applied Statistics, Briefings in Bioinformatics, Bioinformatics, Biostatistics, Genome Biology, JAMA Oncology, Journal of the Royal Statistical Society, Nature Communications, Nucleic Acids Research, Science Translational Medicine, Statistics in Medicine, and Trends in Genetics.  He holds an adjunct faculty position in the Department of Biostatistics and Bioinformatics at Duke University School of Medicine.  He is a member of the American Statistical Association and a fellow of the Royal Statistical Society.