David Kincaid is the owner of Dedekind Cut Labs and a seasoned data science and AI practitioner with over 20 years of experience building large-scale data architectures and machine learning products for veterinary medicine. He led the creation of IDEXX’s Decision IQ clinical decision support tool and has shipped production ML systems—from hierarchical multi-label classifiers on 4+ billion records to RAG-based veterinary chatbots—using PyTorch, Hugging Face, AWS, and survival models. Comfortable as both strategist and hands-on engineer, he blends academic rigor (MS in Mathematics, PhD work in Biomedical Informatics/Computational Biology) with practical delivery across cloud, big-data, and embedded systems. An active open-source contributor, he’s improved developer tooling and cross-binding compatibility in projects like Godot’s VSCode plugin and qtpy, showing a knack for bridging desktop tooling and web/UI frameworks. Based in Eau Claire, WI, he also advises startups, performs technical due diligence, and applies domain-specific ontologies to turn messy medical records into actionable business value.
10 years of coding experience
26 years of employment as a software developer
PhD, Biomedical Informatics and Computational Biology, PhD, Biomedical Informatics and Computational Biology at University of Minnesota
Master's, Mathematics, Computational Emphasis, Master's, Mathematics, Computational Emphasis at Texas A&M University
BS, Mathematics, Computational Science, BS, Mathematics, Computational Science at University of Wisconsin-Eau Claire
Provides an uniform layer to support PyQt5, PySide2, PyQt6, PySide6 with a single codebase
Role in this project:
Full-stack Developer
Contributions:43 reviews, 41 commits, 2 PRs in 1 month
Contributions summary:David primarily contributed to improving the `qtpy` library, which provides a compatibility layer for different Qt bindings in Python. Their work involved adding missing imports and fixing issues related to specific Qt modules like `QtWebEngineWidgets`, `Qt3DAnimation`, and `QtWebSockets`. They also implemented test improvements, including adding and fixing test files for various Qt modules. Further contributions involved fixing documentation and error handling and updating tests for compatibility across different Qt versions.
Contributions:32 reviews, 20 commits, 192 PRs in 6 months
Contributions summary:David contributed to the Godot Engine's VSCode plugin, implementing features such as configurable auto-reconnect and context menu options. They also fixed bugs, including a regression in the debugger launch process, and improved extension startup performance. The user's work involved modifying the TypeScript code for the plugin's core functionality and updating the debugger's server controller.
vscodegodot-enginedevelopment-toolsgodot
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