Jochen Görtler logo that shows the handwritten letters jg. A portrait of myself.
I am a consulting software engineer and research scientist. I develop hand-tailored visualization systems that help my clients make sense of complex data and machine learning models. I'm based in Germany and I have a Ph.D. in computer science.

Jochen Görtler ✌️

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Build understanding. The systems I develop typically leverage a combination of frontend and backend components. Because of this, I have expertise in a wide range of languages and frameworks.

I have more than five years of experience writing efficient and performant systems code in Rust that can also compile to WASM, while I use TypeScript together with frontend frameworks such as Svelte, React, or Vue to provide robust and rich user interactions that are intuitive to grasp for all stakeholders. I love working closely with clients to fully understand the requirements of their business domain—and helping them integrate my work by refactoring or modernizing legacy systems.
🎉We have recently released Mycelium, the graph visualization library for machine learning models that I developed at Apple. Check out our live demo!

Bridging the gap between research and application. I have worked on practical projects and presented my work at top academic conferences. The following are some of my research highlights—you can find a full list of publications on Google Scholar.

Talaria — Honorable Mention Award 🏅
F Hohman et al. (CHI 2024)

Combines graph visualization of ML models and interactive optimization (such as palettization, quantization) to improve the performance of on-device inference tasks.

Neo — Best Paper Award 🏅
J Görtler et al. (CHI 2022)

Investigates how to apply confusion matrices to hierarchical and multi-output labels.

A visual exploration of Gaussian processes — VISxAI Best Submission 🏅
J Görtler et al. (Distill.pub 2019)

An interactive article that explains visually how Gaussian processes can be used to tackle regression tasks.