Nicholas Noll
Research Scientist at Karius
Santa Barbara, California, United States
Summary
🤩
Rockstar🎓
Top SchoolNicholas Noll is a research scientist and physicist with 8+ years of computational and analytical experience building models at the intersection of quantitative biology and statistical physics, now contributing to quantum computing research. He has led open-source projects and production-ready pipelines—from a widely used COVID-19 hospital demand model to hybrid ONT/Illumina assembly and pan-genome alignment tools—demonstrating an ability to translate physical intuition into simple, interpretable algorithms with CLI implementations. His work spans single-cell manifold learning for positional information in embryos, scalable bacterial genomics for epidemiology, and image-analysis pipelines for live developmental datasets, reflecting deep domain fluency across cutting-edge biological technologies. Proficient in Julia, Python, MATLAB, Go, and C, he combines rigorous theoretical insight with hands-on engineering, and his GitHub (github.com/nnoll) showcases this blend of research and reproducible software. Based in Santa Barbara, he brings a rare combination of physics-trained modeling, production bioinformatics, and a track record of tools adopted by hospitals and international collaborators.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Electrical and Electronics Engineering, 4.0, Bachelor of Engineering - BE, Electrical and Electronics Engineering, 4.0 at University of WashingtonDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at UC Santa Barbara
Github Skills (19)
model-driven-development10
data-visualizations10
algorithm10
python10
model-driven10
data-set10
pandas10
data-visualisation10
modello10
data-model10
vi10
model-building10
user-data10
data-visualization10
modeling10
Programming languages (5)
Github contributions (5)
neherlab/covid19_scenarios
Mar 2020 - May 2020
Models of COVID-19 outbreak trajectories and hospital demand
Role in this project:
Data Scientist
Data ScientistContributions:564 commits, 68 PRs, 243 pushes in 2 months
Contributions summary:Nicholas primarily contributed to the development of a COVID-19 outbreak model, focusing on incorporating age-stratified data and improving the model's accuracy. Their work involved creating a Python script to parse and process age distribution data from UN datasets, updating the model parameters to reflect these distributions, and refactoring the code for better organization and maintainability. The user also made changes to UI components for visualizing and displaying simulation results.
hospitaldatancovoutbreakscience
nnoll/tissueAnalysisSuite
Feb 2018 - Feb 2021
A complete set of MATLAB code to segment live-image movies of developing epithelial tissues, track cellular flows, and infer intercellular stresses.
Contributions:3 commits, 1 PR, 4 pushes in 3 years
matlab
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