David Stutz
Research scientist at DeepMind; first author of the SynthID Bio protein watermarking paper
- Research scientist, Google DeepMind12
David Stutz is a research scientist at DeepMind. Stutz is first author of "Function-preserving watermarking of AI-generated proteins" (Nature, 2026), the paper behind Google DeepMind's open-source SynthID Bio tool, and was credited with key research and engineering contributions to the original SynthID image watermarking project. Stutz's research also covers conformal prediction, uncertainty under ambiguous ground truth, and medical applications of Gemini models.123567
Watermarking
Google DeepMind's 2023 announcement of SynthID lists Stutz among the people who made key research and engineering contributions to the image watermarking project, and Stutz is a co-author of the 2025 SynthID-Image paper. Stutz is first author of the 2026 Nature paper behind SynthID Bio, which watermarks AI-generated protein sequences.342
Research
Work
SynthID BioOpen-source code
First author of "Function-preserving watermarking of AI-generated proteins" (Nature, 2026), the paper the SynthID Bio repository asks users to cite.2
Learning Optimal Conformal Classifiers (external site: arxiv.org)Published research
First author of a 2021 paper on training classifiers end to end with conformal prediction.5
Career timeline
Oct 2021
Posted "Learning Optimal Conformal Classifiers" as first author.5
Jul 2023
Posted "Conformal prediction under ambiguous ground truth" as first author.6
Aug 29, 2023
Credited with key research and engineering contributions in Google DeepMind's SynthID launch post.3
Apr 2024
Co-authored "Capabilities of Gemini Models in Medicine".7
Oct 2025
Co-authored "SynthID-Image, Image watermarking at internet scale".4
2026
Published the SynthID Bio protein watermarking paper in Nature as first author.2
Related people
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- Abigail SeeAlso at Google DeepMind
- Ajeya CotraEvaluation and benchmarks
- Anca DraganAlso at Google DeepMind
- Aylin CaliskanSafety and alignment
- Armand JoulinAlso at Google DeepMind
- Beth BarnesAlso at DeepMind
- Clément FarabetAlso at Google DeepMind
- Collin BurnsSafety and alignment
- David WaddenAlso at Google DeepMind
- Dan HendrycksEvaluation and benchmarks
- Demis HassabisAlso at Google DeepMind
- Diogo AlmeidaEvaluation and benchmarks
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