Brandon Horn
Senior Software Engineer at Microsoft
Cambridge, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolBrandon Horn is a Senior Software Engineer in Cambridge, MA with seven years focused on building evaluation and fairness tooling for machine learning at Microsoft. He leads full-stack development of responsible AI dashboards and interpretability tooling, contributing UI-heavy work in React/TypeScript as well as backend integrations (Flask, C#) to help teams understand and monitor models. His open-source contributions to high-profile projects like Microsoft’s Responsible AI Toolbox and Fairlearn emphasize practical UX features—cohort editing, fairness wizards, localization—and connecting interactive front ends to robust service APIs. Trained originally in physics and astronomy, he brings a data-driven, simulation-minded approach to complex product design and a history of bridging research code and production-grade analytics.
7 years of coding experience
7 years of employment as a software developer
Master's degree, Astronomy, Master's degree, Astronomy at Columbia University in the City of New YorkBachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at Harvey Mudd College
Github Skills (19)
javascript10
typescript10
user-interface10
ui-design10
flask-ask10
uid10
front-end-development10
typescript-types10
typescripts10
react10
flask10
data-visualizations9
python9
data-visualisation9
data-visualization9
Programming languages (6)
Github contributions (5)
fairlearn/fairlearn
Oct 2019 - Jun 2020
A Python package to assess and improve fairness of machine learning models.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:1 release, 90 commits, 43 PRs in 8 months
Contributions summary:Brandon's commits primarily focused on the development of a Fairness Dashboard, with a focus on implementing UI components using React and TypeScript. This is indicated by the creation of a FairnessWizard component and the presence of related files like `FairnessWizard.tsx` and related UI components. The changes include the implementation of new features, styling updates, and incorporating interactive elements, indicating a UI-focused role within the project.
machine-learning-modelspythonfairness-mlfairness-aimachine-learning
microsoft/responsible-ai-toolbox
Jul 2020 - Jul 2020
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:13 commits in 18 days
Contributions summary:Brandon appears to be primarily focused on the development of user interface components and backend logic related to a responsible AI dashboard. They implemented a Flask wrapper for the UI and integrated with the backend by detecting the environment. They also worked on core UI elements, including cohort editing and axis configuration, likely using React and related UI libraries. Additionally, the user integrated localization scripts.
aidata-explorationuiresponsible-aidata-science
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