doi.bio/jonas_adler


Jonas Adler

Jonas Adler is a Senior Research Scientist at Google DeepMind, where he works on scientific machine learning, focusing on inverse problems and the intersection between model-driven and data-driven methods.

Biography

Adler pursued a PhD in Applied Mathematics under the supervision of Ozan Öktem before working as a Research Scientist at Elekta. He joined the Science team at DeepMind in June 2019.

Publications

Adler has authored and co-authored numerous papers, including:

- "Gemini: A Family of Highly Capable Multimodal Models" (co-authored, 2023)

Jonas Adler

Jonas Adler is a Senior Research Scientist at Google DeepMind, where he works on scientific machine learning, focusing on inverse problems and the intersection between model-driven and data-driven methods.

Biography

Adler pursued a PhD in Applied Mathematics under the supervision of Ozan Öktem before becoming a Research Scientist at Elekta. He joined the Science team at DeepMind in June 2019.

Research

Adler's research interests lie at the intersection of machine learning and the natural sciences. He has worked on AlphaFold, recognised as a solution to the protein folding problem at CASP14. He has also published extensively on image reconstruction tasks, including the following:

Publications

- Awais Ashfaq, Jonas Adler. A modified fuzzy C means algorithm for shading correction in craniofacial CBCT images. 2017

Jonas Adler

Jonas Adler is a Senior Research Scientist at Google DeepMind, where he works on scientific machine learning, focusing on inverse problems and the intersection between model-driven and data-driven methods.

Biography

Adler completed his PhD in Applied Mathematics under the supervision of Ozan Öktem before becoming a Research Scientist at Elekta. He then moved to DeepMind in 2019, joining the Science team.

Research

Adler's research sits at the intersection of machine learning and the natural sciences, with a particular focus on image reconstruction and inverse problems. He has worked on AlphaFold, recognised as a solution to the protein folding problem.

Publications

Adler has published extensively, including the following:




sness@sness.net