Augustin Žídek
Staff Research Engineer at DeepMind
United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolAugustin Žídek is a Staff Research Engineer at DeepMind with 11 years of experience building production-grade scientific software at the intersection of research and engineering, currently leading teams that build shared libraries and tools for AlphaFold. A Cambridge-educated computer scientist (BA, MEng, Distinctions), he combines deep ML and systems skills—JAX/Python/C++/NumPy, distributed pipelines, and performance optimisation—with hands-on work on landmark open-source projects like AlphaFold and DeepMind Research. His contributions span model implementation, multimer support, confidence-metric integration (pLDDT), and production inference tooling, reflecting both research insight and pragmatic engineering. Comfortable across TensorFlow-to-JAX migrations, backend and DevOps improvements, and database/infrastructure work, he excels at turning cutting‑edge research into reliable, scalable pipelines.
11 years of coding experience
7 years of employment as a software developer
Master of Engineering (MEng), Computer Science, BA: First (Distinction), MEng: First (Distinction), Master of Engineering (MEng), Computer Science, BA: First (Distinction), MEng: First (Distinction) at University of Cambridge
Finnish, German, Slovak, English, Czech
Github Skills (24)
python10
model-driven10
machine-learning10
model-building10
deep-learning10
tensorflow10
jax10
scientific-computing10
modeling10
model-driven-development10
scripting9
convolutional-neural-networks9
devops9
neural-network9
resnet9
Programming languages (9)
Github contributions (5)
google-deepmind/alphafold
Jul 2021 - Jan 2023
Open source code for AlphaFold 2.
Role in this project:
ML Engineer
ML EngineerContributions:9 releases, 35 commits, 49 PRs in 1 year 6 months
Contributions summary:Augustin primarily contributed to the AlphaFold project by implementing and refining aspects related to the machine learning model. This includes fixing typos in code, adding code for AlphaFold-Multimer, and modifying the code to incorporate pLDDT confidence metrics in the output PDB files, reflecting the user's involvement in enhancing model functionality and output presentation. The user also focused on setting up library versions and addressing deprecation warnings, indicating a role in maintaining the project's environment.
alphafold
google-deepmind/alphafold3
Nov 2024 - Jul 2026
AlphaFold 3 inference pipeline.
Role in this project:Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:1 release, 20 PRs, 121 pushes in 1 year 8 months
Contributions summary:Augustin primarily worked on back-end improvements and database related tasks. Their contributions focused on making the database fetching process compatible with Python 3.6. They also made multiple documentation fixes and silenced irrelevant warnings while also fixing path handling for the project's templates. Furthermore, they were responsible for adding and improving the user interface. Additionally, the user improved the project's infrastructure with the addition of a new shell script.
inference
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