Kasper Hansen
Professor at Johns Hopkins Bloomberg School of Public Health
Baltimore, Maryland, United States
Summary
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Senior🎓
Top SchoolKasper Hansen is a professor of biostatistics at Johns Hopkins with two decades of experience developing statistical methods for genomics and computational biology. Trained at UC Berkeley (Ph.D. in Biostatistics/Computational Biology) and Copenhagen, he has advanced research in epigenetics, RNA-seq bias, and statistical genomics while moving from postdoc to full professor at JHU. He combines deep statistical computing expertise with practical experience in high-throughput sequencing analysis, cloud-enabled pipelines, and normalization methods. Known for bridging methodological rigor and applied genomic problems, he often tackles subtle measurement biases that impact biological inference. Based in Baltimore, he maintains an active academic research program focused on translating complex genomic data into robust, reproducible insights.
20 years of coding experience
3 years of employment as a software developer
Ph.D., Biostatistics, Computational Biology, Ph.D., Biostatistics, Computational Biology at University of California, BerkeleyMaster, Statistics, Master, Statistics at Københavns Universitet - University of Copenhagen
Danish, English
Github Skills (83)
bioconductor10
genomics10
r10
r-package10
package10
bioinformatics10
science9
junction8
travis-ci8
data-science8
mass7
core-package7
continuous-testing7
mass-spectrometry7
matching7
Programming languages (7)
Github contributions (5)
hansenlab/minfi
Feb 2014 - Sep 2022
Devel repository for minfi
Contributions:310 commits, 62 PRs, 203 pushes in 8 years 8 months
develr
hansenlab/hansenlab.github.io
Jan 2015 - Mar 2025
Contributions:1 PR, 335 pushes in 10 years 2 months
jekyll
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