Kirsten Gotting
Computational Biologist 2
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolKirsten Gotting is a computational biologist with 11 years of experience blending genetics, genomics, and drug-discovery analytics to tackle complex biological questions. She has led end-to-end projects from field sampling in tropical rainforests to building production-ready pipelines for RNA-seq, genome assembly, proteomics, and comparative genomics. Her recent work in target evaluation and functional clusteromics at LifeMine and Valo advances natural-product-driven drug discovery through data-driven prioritization and gene-network approaches. Kirsten pairs strong programming skills in R and Python with demonstrated ability to translate results for multidisciplinary teams and to deploy interactive RShiny apps and genome browsers for collaborators. She repeatedly accelerates discovery by designing reproducible, cluster-enabled workflows that processed hundreds of non-model organism datasets during her PhD and subsequent roles. Outside the lab, she’s comfortable shifting between bench, field, and computation—an unusual mix that informs pragmatic, biology-grounded algorithm design.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Arts (B.A.) Biology General, Bachelor of Arts (B.A.) Biology General at University of OregonDoctor of Philosophy - PhD Genetics, Doctor of Philosophy - PhD Genetics at University of Wisconsin-Madison
Github Skills (27)
meta-analysis9
computational-biology9
population-genetics8
comparative-genomics8
seq8
biology8
taxonomy7
bioinformatics7
stable7
rna-seq7
genomics7
phylogenetics6
python6
predict4
inference4
Programming languages (3)
Github contributions (5)
kirstengott/scripts
Jun 2016 - Jul 2023
Contributions:2 PRs, 70 pushes, 3 branches in 7 years 2 months
kirstengott/fungal_associations_metagenomics
Apr 2022 - Aug 2023
Contributions:51 pushes, 1 branch in 1 year 4 months
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