Nate Johnson
Senior Engineering Manager at Dotmatics
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolNate Johnson is a Director of Engineering specializing in lab instrument integration and data orchestration, with 11 years of experience building production-grade scientific software. He led Luma Lab Connect’s instrument integration from startup prototype to enterprise product—delivering 100+ parsers for 40+ manufacturers, a GxP-compliant SDLC, and an event-driven, serverless architecture that cut intermittent workload costs by up to 90%. Nate combines deep domain knowledge in chemistry and neuroscience with hands-on engineering, reverse-engineering undocumented binary instrument formats and surfacing them through a Databricks lakehouse for customers like Vertex, J&J, and BASF. He previously led DARPA-focused neurotechnology engineering at BioBright and contributed to open-source plotting work for MATLAB via Plotly, showing a blend of scientific rigor and practical tooling. Based in Boston, he’s known for translating messy, vendor-locked scientific data into scalable, audit-ready platform capabilities that drive acquisitions and large-scale deployments.
11 years of coding experience
8 years of employment as a software developer
Master of Business Administration - MBA, Master of Business Administration - MBA at Isenberg School of Management, UMass AmherstBA Chemistry, BA Chemistry at Cornell UniversityMaster’s Degree Neuroscience and Behavior, Master’s Degree Neuroscience and Behavior at University of Massachusetts Amherst
English, chinese (普通话)
Github Skills (8)
data-visualizations10
data-visualization10
data-visualisation10
matlab10
plotly10
d3js9
webgl8
data-science8
Programming languages (10)
Github contributions (5)
plotly/plotly_matlab
Jul 2015 - Jul 2015
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:10 commits, 5 PRs, 1 push in 4 days
Contributions summary:Nate primarily focused on enhancing the MATLAB plotting library, specifically improving the `updateQuiver` function. Their contributions involved implementing and refining arrowhead features for quiver plots, ensuring correct sizing based on user input and MATLAB's handle graphics (HG2). The user also addressed 3D scatter plot functionality, updating the library to handle 3D data and updating the version number.
visualizationchord-diagrammatlabdata-sciencewebgl
jnj16180340/wevo
Feb 2020 - Mar 2021
Contributions:25 commits, 20 pushes, 1 branch in 1 year 1 month
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