Rachel Karchin
Professor at Johns Hopkins University
Baltimore, Maryland, United States
Summary
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Senior🎓
Top SchoolRachel Karchin is a computational biologist and professor at Johns Hopkins with over 20 years of experience translating computational methods into biological and clinical insights. She leads research at the intersection of biomedical engineering, oncology, and computational medicine, with a long-standing focus on predicting the impact of missense mutations in proteins. Her academic trajectory—from a Ph.D. in Computational Biology/Computer Science at UC Santa Cruz through postdoctoral work at UCSF—underscores deep expertise in algorithmic modeling of molecular variation. At Johns Hopkins she has progressed from assistant to full professor, building interdisciplinary teams and mentoring the next generation of computational scientists. Known for combining rigorous computational approaches with translational relevance, she applies predictive models to problems that directly inform cancer biology and patient-focused research. Based in Baltimore, she brings a rare blend of foundational algorithm development and sustained, high-impact academic leadership.
11 years of coding experience
20 years of employment as a software developer
University of California Santa Cruz
Github Skills (23)
genomics8
bioinformatics8
python6
clustering5
mutation5
javascript5
modular4
nextflow3
machine-learning2
residual-networks2
convolutional-neural-networks2
transfer-learning2
protein-structure2
hotspot2
advertising2
Programming languages (5)
Github contributions (5)
KarchinLab/mhcnuggets
Jun 2018 - Jul 2025
MHC Class I and Class II neoantigen binding prediction
Contributions:3 PRs, 5 pushes, 1 branch in 7 years 2 months
method
KarchinLab/CLUMP
Jun 2015 - Jun 2018
Contributions:4 commits, 2 pushes, 1 branch in 3 years
clusteringpositionmutation
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