Charles Danko

Assistant Professor at Cornell University

City of Ithaca, New York, United States
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Summary

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Senior
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Top School
Charles Danko is an Assistant Professor at Cornell University with 13 years of experience developing computational methods to decode how DNA sequence encodes gene expression and shapes evolution, development, and disease. He combines statistical modeling and machine learning with hands-on molecular genomics—designing and analyzing next-generation sequencing assays such as GRO-seq and RNA-seq—to link transcriptional mechanisms to biological function. His work includes novel HMM-based approaches to identify transcription units and genome-wide transcription rate estimation, reflecting a rare blend of algorithm development and experimental library preparation. Trained in bioinformatics (Ph.D.) and biomedical engineering, he has a track record of producing open, reusable tools (e.g., Bioconductor packages) and translating complex data into mechanistic insight.
code13 years of coding experience
job6 years of employment as a software developer
bookJohns Hopkins University
bookDoctor of Philosophy (Ph.D.), Bioinformatics, Doctor of Philosophy (Ph.D.), Bioinformatics at SUNY Upstate Medical University
languagesFrench
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Github Skills (20)

seq10
rna-seq9
illumina8
parser8
genomics8
sequencing8
gene-expression8
bioinformatics8
r-package7
minhash7
parse7
uid6
bayesian6
pipeline6
uuid-generator6

Programming languages (4)

RShellCHTML

Github contributions (5)

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Contributions:254 commits, 216 pushes in 8 years 7 months
Danko-Lab/CD4-Cell-Evolution

Jul 2013 - Mar 2018

Contributions:468 commits, 1 push in 4 years 8 months
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