Joe Song
Professor at New Mexico State University
Las Cruces, New Mexico, United States
Summary
👤
Senior🎓
Top SchoolJoe Song is a professor and researcher with over a decade of academic experience at New Mexico State University, specializing at the intersection of computer science and statistics. He develops efficient statistical modeling and learning algorithms to uncover structural, temporal, and functional dependencies among hundreds to thousands of variables, with applied work spanning bioenergy, cancer research, microbial ecology, and neuroscience. His research combines rigorous statistical inference with algorithmic efficiency, tackling problems in computational systems biology, neuronal signal analysis, and integrated computer vision. Trained with a Ph.D. in Electrical Engineering from the University of Washington and early technical roots in medical imaging, he brings both theoretical depth and hands-on experience building instrumentation and data-driven tools. Based in Las Cruces, he is particularly motivated by life-science applications, translating quantitative methods into practical insights for biological systems.
12 years of coding experience
15 years of employment as a software developer
Ph.D., Electrical Engineering, Ph.D., Electrical Engineering at University of WashingtonGraduate Study, Electrical Engineering, Graduate Study, Electrical Engineering at Beijing University of Post and TelecommunicationsGraduate Study, Computer Science, Graduate Study, Computer Science at Florida International University
Github Skills (13)
bioconductor10
gdc10
clustering9
bioinformatics8
r8
deep-learning3
random-generation3
machine-learning3
optimization3
r-package3
numerical-optimization2
cpp2
cran1
Programming languages (2)
Github contributions (5)
cran/Ckmeans.1d.dp
Mar 2014 - Jan 2022
:exclamation: This is a read-only mirror of the CRAN R package repository. Ckmeans.1d.dp — Optimal, Fast, and Reproducible Univariate Clustering
Contributions:24 commits in 7 years 11 months
clustering
BioinformaticsFMRP/TCGAbiolinks
Jun 2017 - Oct 2020
TCGAbiolinks
Contributions:2 issues in 3 years 3 months
tcgabioconductorintegrative-analysisgdcbioinformatics
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