Shengyuan Wang

Computational biologist and bioinformatics expert with over 4 years of research experience in multi-omics integration and transcriptional regulation using cutting-edge computational tools. Skilled in developing robust bioinformatics pipelines, conducting high-throughput analyses, and utilizing high-performance computing environments for large-scale genomic studies. Proficient in Python, R, Linux, Git, and SQL, with a track record of delivering data-driven insights for cancer and functional genomics research.

Postdoc Research Associate at University of Virginia, Department of Genome Sciences (2022 – Present)

Conducting research in computational biology and functional genomics with focus on transcriptional regulation and multi-omics integration.

• Identified transcriptional regulators with pH-sensitive regulatory potential and association with BRD4-dependent transcriptional condensates through integrative multi-omics and computational analysis.
• Analyzed the genomic clustering tendency of transcriptional factors and its role in phase-separated transcriptional condensates at super-enhancers through statistical analysis.
• Constructed a comprehensive database of CTCF binding repertoire (www.ctcf.info) across diverse cell types in the human and mouse genome.
• Developed machine learning models for analyzing image-based chromatin tracing data and uncover spatial genome dynamics across cell types.

Ph.D. in Bioinformatics and Computational Biology – George Mason University (2016-2022)

M.S. in Pharmaceutical Sciences – North Carolina Central University (2014-2016)

B.S. in Biotechnology – China Agricultural University (2009-2013)