Summary
Chiyun Lee is a Senior Data Scientist based in Cambridge who specialises in large-scale malaria genomics, having led SNP/indel/CNV calling workflows across 100+ TBs and co-led the Pf-HaploAtlas effort. With a background in molecular biology and microbiology and an MSci from Cambridge, she blends deep domain expertise with production-grade tooling—Nextflow pipelines, machine learning and deep learning—for genomic surveillance and vaccinology. Her work spans academic and industry settings, from Wellcome Sanger’s Genomic Surveillance Unit to multi-omics ML at AstraZeneca, where she led drug-repositioning dashboards and wearable-device analytics. Comfortable across NGS, scRNA-seq and computational vaccinology, she pairs method development and visualization with pragmatic deployment experience, and brings an engineer’s focus on reproducible, scalable pipelines to high-impact infectious disease research.
4 years of coding experience
2 years of employment as a software developer
Natural Sciences MSci, Natural Sciences MSci at University of Cambridge
Hampton School