Summary
Dapeng Wang is a bioinformatics researcher and senior bioinformatician with over a decade of experience integrating multi-omics and population-scale genomics to study complex diseases, currently researching genetic drivers of pulmonary fibrosis at Imperial College London. He has built and maintained scalable, automated pipelines (Snakemake/HPC) across genomics, transcriptomics, epigenomics, proteomics and metabolomics, and led multi-group bioinformatics teams and infrastructure at Leeds and Oxford. His work spans creation of large evolutionary databases and practical tools—e.g., intron and GC-content resources—and hands-on analysis of cohorts such as 100K Genomes and UK Biobank. Dapeng combines classical mathematical training with a PhD in bioinformatics to apply machine learning and deep learning for multi-modal data integration, and played a key data-management and integration role in the COMBAT COVID-19 multi-omics consortium. Colleagues rely on him for turning complex omics projects into reproducible workflows and data resources that support both discovery and translational research.
9 years of coding experience
10 years of employment as a software developer
Ph.D, Bioinformatics, Ph.D, Bioinformatics at Beijing Institute of Genomics, Chinese Academy of Sciences
Bachelor's degree, Information and Computing Science, Bachelor's degree, Information and Computing Science at School of Mathematics and System Sciences, Shandong University
Chinese, English