Summary
Henry Dong is a software engineer and computational biologist with 11 years of experience, currently at Google while completing a PhD in Computational Biology and Bioinformatics at USC. He specializes in designing scalable clustering algorithms for DNA and 16S rRNA data, blending Bayesian, MCMC, and machine learning techniques to boost accuracy and performance. Previously at Roche he led backend development for ctDNA monitoring tools and built the Aberration Caller Evaluation platform to standardize oncology algorithm evaluation. His work consistently focuses on algorithmic optimization, pipeline robustness, and fault-tolerant orchestration to reduce runtime and memory footprints in production bioinformatics systems. Trained at Oxford (First-Class Biochemistry) and USC (MS, CS), he bridges deep domain expertise in biology with practical engineering at cloud scale. Colleagues note his knack for turning complex probabilistic methods into maintainable, high-throughput software—an often-overlooked skill in computational research teams.
11 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Southern California
Bachelor's degree, Biochemistry, First-Class Honours, Bachelor's degree, Biochemistry, First-Class Honours at University of Oxford