Summary
Zhenjia Wang is a computational biologist and Scientist II with a PhD in Mathematics and nearly a decade of experience applying statistical and deep learning methods to large-scale bulk and single-cell omics. He has a strong track record in integrative analysis—combining ChIP-seq, RNA-seq, ATAC-seq, HiChIP/Hi-C, and WGS—to reveal regulatory mechanisms in cancer, including work linking UTX condensation to tumor suppression. As a postdoc he built BART and BARTweb, a widely used tool for predicting transcriptional regulators that has processed over 10,000 jobs, demonstrating both algorithmic depth and production-facing software delivery. Comfortable in Python, R, Linux, and shell environments, he bridges mathematical modeling and practical pipelines for data mining and integration. Based in Boston, he brings quantitative rigor from a mathematics background to translational genomics problems, often uncovering non-obvious regulatory patterns through statistical modeling.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at Shandong University