Brandon Lind
Research Fellow - Genomics Of Climate Adaptation, Biodiversity Informatics
Midlothian, Virginia, United States
Summary
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Senior🎓
Top SchoolBrandon Lind is an evolutionary geneticist and research fellow specializing in the genomics of climate adaptation and biodiversity informatics, with 11 years of research experience advancing breeding and conservation of North American species. He combines rigorous biostatistics and evolutionary genomics with machine learning, fluent in Python and R, and actively shares reproducible code on GitHub. Currently based at the University of Connecticut and also affiliated with Northeastern as an AI research fellow, he bridges field-driven ecological questions with computational methods. His PhD in Adaptation and Evolutionary Genomics underpins a track record of postdoctoral work on forest trees, and he is particularly adept at translating complex genomic insights into practical strategies for conservation and applied breeding.
11 years of coding experience
Chemistry and Biology, Chemistry and Biology at University of Northern IowaPh.D., Adaptation and Evolutionary Genomics, Ph.D., Adaptation and Evolutionary Genomics at Virginia Commonwealth University
Github Skills (93)
python10
prediction10
libfdk-aac10
fastq-files10
rna-seq10
homekit10
siri10
homebridge10
editor9
pandas9
statistics9
espn9
regression-models9
filtering9
data-visualization9
Programming languages (9)
Github contributions (5)
CoAdapTree/varscan_pipeline
Mar 2019 - Jul 2021
Pipeline for CoAdapTree to autonomously process raw fastq files through SNP calling with VarScan and subsequent filtering following bioinformatic best practices.
Contributions:2 releases, 90 commits, 32 PRs in 2 years 4 months
fastq-filescallingpipelinefollowingfastq
EckertLab/protocols
Nov 2014 - Feb 2018
Contributions:55 commits, 31 pushes in 3 years 3 months
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