Jaeyoung Chun is an Assistant Professor and computational biologist with 11 years of experience building production-grade pipelines and scalable software for advertising and single-cell genomics. He has led multi-disciplinary, in-house and offshore teams to deliver end-to-end solutions—from microservices and cloud-native ad-tech stacks to fully automated WDL/Cromwell pipelines processing tens of millions of single cells for MSKCC. His work uniquely bridges academic research and product engineering, pairing deep domain expertise in single-cell modalities (scRNA-seq, scATAC-seq, spatial transcriptomics, CITE-seq) with practical dev-ops and workflow automation on Google Genomics, AWS Batch and HPC. A founder-turned-academic, he combines startup product instincts (built a cloud visual content platform with 25k clients) with rigorous computational biology methods developed at Weizmann and Dana Pe’er Lab. He teaches deep learning, big data modeling and practical AI at Handong Global University while overseeing dry-lab operations and multi-lab data services at MSKCC. Colleagues rely on him to translate complex biological questions into reproducible, scalable pipelines that accelerate translational research.
10 years of coding experience
14 years of employment as a software developer
Bachelor of Science (B.S.), Biomedical Engineering & Electrical Engineering, Bachelor of Science (B.S.), Biomedical Engineering & Electrical Engineering at Duke University
PhD Candidate, Computational Biology, PhD Candidate, Computational Biology at Weizmann Institute of Science
Master of Liberal Arts, Information Technology, Dean's List (Academic Achievement Award), Master of Liberal Arts, Information Technology, Dean's List (Academic Achievement Award) at Harvard University
Roslin is a reproducible and reusable workflow for Cancer Genomic Sequencing Analysis
Contributions:1226 commits in 7 months
pipelineworkflow-reusablesequencinggenomicscancer
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Jaeyoung Chun - Assistant Professor at Handong Global University