Nelson Johansen
Scientist at Allen Institute
Woodland, California, United States
Summary
👤
Senior🎓
Top SchoolNelson Johansen is a scientist with 11 years of experience applying machine learning, deep learning, and statistical modeling to genomics problems, currently focused at the Allen Institute. He develops models to dissect cell state changes in disease and to predict effective drug combinations and targets, translating computational insights into experimental hypotheses. His background includes a PhD trajectory at UC Davis and a B.Sc. in Computer Science, blending rigorous quantitative training with practical software engineering. Nelson also brings startup experience as a co-founder and mobile/backend developer, giving him a pragmatic appreciation for production-ready code and scalable data pipelines. Based in Woodland, California, he bridges academic rigor and applied product thinking to accelerate translational biology. Colleagues value his ability to turn complex genomic signals into actionable models that inform downstream experiments.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science (B.Sc.), Computer Science, Bachelor of Science (B.Sc.), Computer Science at University of California, Davis
Github Skills (34)
umbrella9
datasets9
transcriptomics9
seq8
rna-seq7
owl6
bioinformatics6
deep-learning6
r-package6
monarchinitiative5
genomics5
bioconductor5
semantic-web5
r5
single-cell-genomics4
Programming languages (6)
Github contributions (5)
quon-titative-biology/scAlign
Feb 2019 - Nov 2021
A deep learning-based tool for alignment and integration of single cell genomic data across multiple datasets, species, conditions, batches
Contributions:170 commits, 6 PRs, 155 pushes in 2 years 9 months
transcriptomicsdeep-learningalignmentbatchesdatasets
UCDNJJ/ucdnjj.github.io
Jan 2018 - May 2021
Contributions:141 pushes, 1 branch in 3 years 4 months
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