Alex Bäuerle
Researcher at Google DeepMind
Paris, Ile-de-France
Summary
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Rockstar🎓
Top SchoolAlex Bäuerle is a researcher and visualization-focused engineer with 11 years of experience building interfaces, explanations, and visual tools for AI systems. Currently at DeepMind after founding a technical team at Axiom Bio, he blends academic rigor from a PhD in neural network visualization with hands-on product work across Google, Apple, Sigma Computing, and CMU. Alex has contributed to prominent open-source tooling—implementing an nPMI plugin for TensorBoard—demonstrating full-stack chops from backend data structures to frontend UI and testing. He specializes in making complex model behavior interpretable and actionable, with a sideline interest in neural networks, data visualization, and—notably—skiing.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Neural Network Visualization and Explainability, Doctor of Philosophy - PhD, Neural Network Visualization and Explainability at Ulm University
German, English, French, Spanish
Stackoverflow
492reputation
22kreached
14answers
10questions
Github Skills (16)
tensorboard10
javascript10
front-end-development10
typescript-types9
angular9
tensorflow9
typescript9
typescripts9
back-end-development8
backend8
tensorflowjs6
deep-learning6
python6
training-data6
datasets6
Programming languages (10)
Github contributions (5)
tensorflow/tensorboard
Jul 2020 - Sep 2020
TensorFlow's Visualization Toolkit
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:123 reviews, 33 commits, 86 PRs in 1 month
Contributions summary:Alex primarily worked on implementing and refining the nPMI (Normalized Pointwise Mutual Information) plugin for the TensorFlow TensorBoard visualization toolkit. They added the backend files, frontend components, and data structures. The user also addressed testing and linting issues, as well as making overall code and UI improvements by adjusting indentation, correcting build file errors, and refactoring state representation. This work involved both front-end and back-end components to integrate the nPMI plugin.
machine-learningtensorflowvisualization
Sparkier/interpretability
Aug 2019 - Nov 2020
Contributions:1 PR, 55 pushes, 7 branches in 1 year 3 months
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