Summary
Michael Wang is a Sr. Staff Data Engineer with 12 years of experience specializing in genomics, biomarker development, and production-grade machine learning for oncology diagnostics. He combines deep bioinformatics expertise (NGS, methylation, ctDNA) with scalable engineering—building fast, robust pipelines and infrastructure on AWS and GPU platforms. Michael has driven assay-to-product lifecycles including RUO/IVD/LDT validation, improving model AUCs and pipeline performance while leading cross-functional teams and securing investor confidence. Recently he has been operationalizing enterprise LLMs and LLM agents to automate high-throughput, accuracy-critical workflows, focusing on reducing hallucination and variability. Comfortable moving between low-level algorithm design (strand-aware dedup/UMI, batch correction) and enterprise API/infra work, he brings a research-grade mindset from his UCSD PhD into production delivery. Based in San Diego, he also maintains practical open-source bioinformatics and ML tooling that underpins his applied research-to-product track record.
12 years of coding experience
11 years of employment as a software developer
University of California, San Diego