Jonas Adler

Principal Research Scientist at Google DeepMind

Biography #

I’m a machine learning researcher at Google DeepMind, where I work on frontier AI — contributing to Google’s Gemini models — as well as machine learning for the sciences, including AlphaFold. Before DeepMind I completed a PhD in applied mathematics at KTH, on inverse problems and deep learning, and was a research scientist at Elekta.

The best way to reach me is by email at contact@jonasadler.com.

News #

Dec 2024: The work behind AlphaFold was awarded the 2024 Nobel Prize in Chemistry (to John Jumper and Demis Hassabis). I was part of the AlphaFold team and joined the celebrations in Stockholm.
May 2024: AlphaFold 3 published in Nature — extending accurate structure prediction to biomolecular interactions.
Dec 2023: First Gemini models released.
Jul 2021: AlphaFold published in Nature, alongside structures for the human proteome.

Recent

Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities

17 June 2025

The Gemini 2.5 model family, advancing reasoning, multimodality, long context and agentic capabilities.

Accurate structure prediction of biomolecular interactions with AlphaFold 3

8 May 2024

AlphaFold 3 — accurate prediction of the structure of complexes including proteins, nucleic acids, ligands and more. (Nature)

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

8 March 2024

A compute-efficient multimodal model with recall and reasoning over millions of tokens of context.

Gemini: A Family of Highly Capable Multimodal Models

6 December 2023

Google DeepMind’s family of natively multimodal models across text, images, audio, video and code.

Continuous diffusion for categorical data

28 November 2022

A framework (CDCD) for modelling categorical data such as text with continuous diffusion models.