Clemens Meyer
Clemens Meyer is a Technical Director at Google DeepMind whose work on AlphaFold connected AI with protein structure prediction. He earned a master’s degree in sustainable development at HEC Paris in 2013. AlphaFold reached a median 92.4 GDT score at CASP14 in 2020, and he coauthored two 2021 reports on its method and proteome-scale predictions. He also coauthored Google’s Gemini report on multimodal models in 2023.
Timeline
-
2013
A sustainability degree
He earns a master’s degree in sustainable development at HEC Paris in 2013.
-
2020
AlphaFold at CASP14
He leads DeepMind’s AlphaFold project as the 2020 system reaches a median 92.4 GDT score at CASP14.
-
July 2021
AlphaFold papers at scale
He coauthors Nature’s 2021 AlphaFold paper, which describes its machine learning method and reports accuracy competitive with experimental structures in most CASP14 cases. In July 2021, he coauthors Google DeepMind’s report on high-accuracy structure prediction at proteome scale.
-
2023
The Gemini multimodal report
He coauthors Google’s 2023 report on Gemini, a family of multimodal models for image, audio, video, and text understanding.
-
As of October 2026
Technical Director at DeepMind
He serves as Technical Director at Google DeepMind.
Sources and credits
Photo: We have no published photo of Clemens Meyer yet. Send us a free-licensed photo.
- Clemens Meyer (M.15) : Decoding Proteins Worth a Nobel Prize
- AlphaFold: a solution to a 50-year-old grand challenge in biology — Google DeepMind
- Highly accurate protein structure prediction with AlphaFold
- Enabling high-accuracy protein structure prediction at the proteome scale — Google DeepMind
- [2312.11805] Gemini: A Family of Highly Capable Multimodal Models
- #42 Clemens Meyer: On supporting nobel prize winning research teams
- CDTM Venture Capital