Stuart Layton
Head Of Technology at FinQore
Peterborough, New Hampshire, United States
Summary
👤
Senior🎓
Top SchoolStuart Layton is a seasoned engineering leader with 17 years of experience building high‑scale data and product engineering teams across startups and enterprise SaaS. Currently Head of Technology at FinQore, he previously led data infrastructure and CRM engineering at HubSpot and product engineering in the hospitality and fintech spaces, consistently focusing on reliability through anti‑fragile infrastructure. He combines hands‑on systems expertise—managing tens of thousands of database instances and trillions of transactions daily—with a talent for creating autonomous teams given a clear vision and accountability. Early work includes PhD‑level research at MIT on neural decoding and significant open‑source contributions to electrophysiology GUI tooling, reflecting a rare mix of deep research, data engineering, and product delivery. Based in New Hampshire, Stuart is known for turning complex distributed systems problems into operationally robust products while mentoring the next generation of technical leaders.
17 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy - PhD Neuroscience, Doctor of Philosophy - PhD Neuroscience at Massachusetts Institute of Technology
French
Stackoverflow
20,195reputation
1.6mreached
468answers
64questions
android-viewpager
top-1%
plot
top-5%
java
top-5%
matlab
top-1%
android
top-1%
matrix
top-5%
Github Skills (22)
data-visualizations10
c-language10
data-visualisation10
matlab10
front-end-development10
android10
data-visualization10
cprogramming-language10
opengl10
android-viewpager10
matrix9
java9
plot9
electrophysiology8
kill-process6
Programming languages (9)
Github contributions (5)
open-ephys/GUI
Mar 2012 - Sep 2012
Software for electrophysiology data acquisition (deprecated)
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:65 commits in 6 months
Contributions summary:Stuart contributed extensively to the GUI software for electrophysiology data acquisition. They focused on developing components for visualizing and displaying spike data, implementing classes such as `SpikeDisplayCanvas`, `StereotrodePlot`, and `TetrodePlot` which handle plotting and rendering of spike data. The user was also responsible for integrating various components, and implementing zoom and pan functionality within the display, along with the creation of helper functions and classes like `ProjectionAxes`, `WaveAxes`, and `SpikeObject`.
data-acquisitionpythoncomputational-neuroscienceelectrophysiology-dataopen-science
slayton/thesis-analysis-code
Oct 2012 - Apr 2013
Contributions:216 commits in 5 months
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