Summary
Shilu Zhang is a data scientist with a decade of quantitative experience and a PhD in Computational Biology from UW–Madison, specializing in machine learning, statistical modeling, and scalable C++ implementations for biological data. She has driven published, high-impact research—such as HiC-Reg in Nature Communications and an interactive GWAS annotation database—while optimizing models and code to achieve substantial performance and speed gains. Currently at NXP Semiconductors, she translates academic rigor into industry solutions and has a track record of leading cross-functional teams to deliver reproducible, production-ready analytics. Comfortable across R, SAS, and C++, she blends deep domain expertise in genomics with practical engineering discipline to advance technologies that improve human health.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at University of Wisconsin-Madison
Johns Hopkins University
Bachelor of Science (B.S.), Biology/Biological Sciences, General, Bachelor of Science (B.S.), Biology/Biological Sciences, General at Nanjing University