Christopher Plaisier
Associate Professor, School Of Biological And Health Systems Engineering
Chandler, Arizona, United States
Summary
👤
Senior🎓
Top SchoolChristopher Plaisier is an associate professor and computational biologist with 16 years of experience bridging software engineering, molecular biology, and human genetics to build mechanistic gene regulatory models for diverse diseases. He develops generalizable computational tools for transcriptome-driven discovery, having applied them to glioblastoma, Parkinson’s, diabetes, infectious disease models, and large TCGA cancer datasets. Trained in biology (BS), bioinformatics (MS) and human genetics (PhD) at Utah and UCLA, he pairs wet-lab skills in creating new datasets with software expertise to automate data-mining and reproducible analysis. His work emphasizes integrating results with public resources and sharing usable outputs so others can build on the models, and he aims to run a lab that couples experimental model systems with computational innovation. An often-overlooked strength is his early industry experience as a web developer, which informs his focus on usable, web-oriented bioinformatics tools.
15 years of coding experience
15 years of employment as a software developer
The University of UtahUniversity of California, Los Angeles
Github Skills (11)
rna-seq9
integrate8
genomics8
bioinformatics8
sequencing8
variants8
cran6
single-cell-genomics4
clustering4
python3
machine-learning3
Programming languages (2)
Github contributions (5)
plaisier-lab/dockerSTAR_Homo_sapiens
Jul 2019 - Sep 2021
Contributions:1 release, 19 pushes, 1 branch in 2 years 2 months
plaisier-lab/ccAF
Jul 2020 - Aug 2022
Contributions:6 commits, 1 push, 3 comments in 2 years
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.