Lingqi Luo is a Senior Data Scientist with a Ph.D. in Bioinformatics and over a decade of combined wet-lab and computational experience turning complex omics datasets into actionable insights. She has deep expertise building and benchmarking reproducible NGS pipelines (WGS/WES/RNA-seq/scRNA-seq) across HPC and AWS, and routinely applies statistical modeling in R to drive translational cancer immunology projects. At institutions including Memorial Sloan Kettering and Boehringer Ingelheim she led cohort studies, antigen discovery for bi-specific antibody strategies, and developed QC and clinical NGS workflows under CLIA/CAP. Comfortable across Python, shell, Docker, and web stacks, she also authors reproducible notebooks and containerized pipelines to scale analyses and train junior bioinformaticians. Her background in cellular biology and early hands-on Illumina sequencing work gives her practical intuition for experimental design and data provenance that many computational scientists lack. Based in Boston, she combines academic rigor and peer-reviewed publications with production-grade deployment of bioinformatics tools in regulated and cloud environments.
10 years of coding experience
4 years of employment as a software developer
Master of Science, Microbiology, General, Master of Science, Microbiology, General at Peking University
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Boston University
Contributions:3 pushes, 1 branch in 1 year 1 month
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