Ryan Henderson
Senior Machine Learning Researcher at Exogene Ltd.
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolRyan Henderson is a Senior Machine Learning Researcher based in Berlin with 11 years of experience blending scientific rigor and production engineering across ML, backend systems, and research. With a PhD in Chemistry from Cornell and a background in physics, he translates domain expertise into practical ML solutions—most recently leading research at Exogene after roles at Bayer and Merantix. He contributes to notable open-source projects such as PyTorch Geometric (adding regularization functions and tests) and worked on BigchainDB core features, showing fluency in graph neural networks, model tooling, and distributed systems. As a former CTO and senior engineer, he pairs hands-on implementation with product-minded reliability, strengthening testing, documentation, and model restoration across projects. Colleagues describe him as a programmer/chemist who surfaces subtle regularization and integration improvements that make models and systems more robust in production.
11 years of coding experience
13 years of employment as a software developer
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at Bowling Green State UniversityPPAMLDoctor of Philosophy (PhD), Chemistry, Doctor of Philosophy (PhD), Chemistry at Cornell University
Stackoverflow
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Github Skills (18)
geometric-deep-learning10
pytorch10
convolutional-neural-networks10
python10
testing10
keras10
deep-learning10
tensorflow10
blockchain10
graph-neural-network10
visualization9
mongodb-database9
databases9
visualizations9
functional-programming9
Programming languages (4)
Github contributions (5)
merantix/picasso
May 2017 - Sep 2017
:art: A CNN visualizer
Role in this project:
ML Engineer
ML EngineerContributions:3 releases, 14 commits, 28 PRs in 3 months
Contributions summary:Ryan primarily contributed to the project by adding and improving the TensorFlow backend for the CNN visualizer. They added tests for the TensorFlow backend, fixed model restoration, and made updates to the project's configuration and documentation. Furthermore, the user bumped the version of the project. The commits indicate a focus on the integration and testing of machine learning models within the visualizer.
pythonartvisualizerdeep-learningmachine-learning
bigchaindb/bigchaindb
Feb 2016 - Dec 2016
Meet BigchainDB. The blockchain database.
Role in this project:Back-end Developer
Back-end DeveloperContributions:149 commits, 58 PRs, 223 pushes in 10 months
Contributions summary:Ryan contributed to the core functionality of the BigchainDB project, implementing features and making adjustments to the codebase. They worked on enhancing transaction management and block creation processes, with the code changes including features like adding a class for block election, changes to the block model and updates to the underlying APIs and database interactions. These efforts involved modifications to the database queries and improvements in test coverage.
bftpythonbigchaindbblockchaindecentralized
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