Mun-gwan Hong
NBIS Expert at NBIS – National Bioinformatics Infrastructure Sweden
Stockholm, Stockholm County, Sweden
Summary
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SeniorMun-gwan Hong is an NBIS expert and bioinformatician based in Stockholm with a decade of experience applying statistical and machine learning methods to large-scale omics data. He combines deep expertise in R and Python ecosystems, HPC workflows (SLURM/MOAB/Torque), and relational databases to deliver reproducible analytical pipelines and prediction models. His work spans >20 scientific papers across genomics, transcriptomics, proteomics and metabolomics, and he placed in the top 2% in a Kaggle Google Analytics customer prediction competition. Equally comfortable with GLMs, mixed models and modern ML (bagging, boosting, deep learning), he bridges research rigor and production-ready tooling at NBIS. Fluent in Korean and English, he also holds a patent in vehicle torque sensing, reflecting a long-standing aptitude for practical engineering solutions.
10 years of coding experience
Korean, English, SwedishGithub contributions (5)
Rundmus/BAf-R_package
Jan 2019 - May 2020
Contributions:5 pushes, 1 branch in 1 year 3 months
Rundmus/NBISsupport
Nov 2020 - Sep 2021
Contributions:31 pushes, 3 branches in 10 months
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