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 (17)
bioconductor10
gdc9
r7
bioinformatics7
optimization5
optimization-methods4
machine-learning4
deep-learning4
c-library4
optimisation3
cpp3
optimizer3
r-package2
random-generation2
gradient-descent2
Programming languages (2)
Github contributions (5)
cran/Ckmeans.1d.dp
Mar 2014 - Jan 2022
Contributions:24 commits in 7 years 11 months
BioinformaticsFMRP/TCGAbiolinks
Jun 2017 - Oct 2020
TCGAbiolinks
Contributions:2 issues in 3 years 3 months
tcgabioconductorintegrative-analysisgdcbioinformatics
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