Malachy Campbell
Senior Scientist - Quantitative Genetics Computational Biology
Boston, Massachusetts, United States
Summary
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Senior🎓
Top SchoolMalachy Campbell is a senior scientist in quantitative genetics and computational biology with eight years of experience translating high-dimensional phenomics, transcriptomics, and metabolomics into actionable insights for crop improvement. Based in Boston and currently at Inari, he builds and applies novel statistical genomics frameworks to integrate dense genomic data with complex phenotypes, bridging wet-lab experience and computational rigor. His background includes multiple postdoctoral roles and a PhD in Agronomy and Crop Science from the University of Nebraska–Lincoln, where he probed the genetics of stress tolerance in staple crops. Colleagues value his hands-on lab experience paired with advanced modeling skills, enabling productive cross-functional collaborations that move discoveries toward applied breeding solutions. Notably, he combines plant-focused domain expertise with the statistical toolkits typically seen in human genomics, allowing him to extract signal from noisy, multidimensional biological datasets.
8 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD, Agronomy and Crop Science, Doctor of Philosophy - PhD, Agronomy and Crop Science at University of Nebraska-LincolnBachelor of Science - BS, Plant Sciences, Graduated summa cum laude, Bachelor of Science - BS, Plant Sciences, Graduated summa cum laude at Rutgers University
Github Skills (18)
r-package8
cffi5
r5
python5
interoperability5
jekyll3
data-science3
factor-analysis2
missing-data2
factor2
gwas2
predictive-modeling2
machine-learning1
datasets1
react1
Programming languages (1)
Github contributions (5)
malachycampbell/StatisticalMethodsforOmicsAssistedBreeding
Oct 2018 - Nov 2018
Contributions:59 commits, 46 pushes, 1 branch in 23 days
Contributions:1 release, 51 pushes, 2 tags in 2 months
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