Advancing Multimodal Medical Capabilities of Gemini

Research scientist and engineer focused on biomedical AI. He is a Member of Technical Staff at OpenAI, was previously a Research Scientist at Google DeepMind, and completed a Stanford PhD on accelerating biomedical intelligence.

Head of AI at Google Health in London and a practising NHS vascular surgeon whose work focuses on safe, effective and equitable medical AI.

Senior staff research scientist at Google DeepMind working on machine learning, computer vision, and computational photography.

Staff Research Scientist at Google DeepMind based in Zurich, focusing on multimodal medical foundation models and trustworthy AI for health.

Physician-scientist and pediatric emergency medicine specialist at Harvard Medical School and Boston Children's Hospital. His research spans machine learning in healthcare, medical decision-making, and AI for improving pediatric care.

Research scientist at Google DeepMind working on multimodal medical AI and personalized health applications.

Senior staff research scientist at Google DeepMind and Turing AI Fellow at the University of Cambridge working on deep learning and its applications to medicine.

VP of AI Research at Google and a senior director at Google Research whose work spans responsible AI, probabilistic machine learning, and health applications.

Spyridon Monachos is a researcher at Google DeepMind working on multimodal applications in medical AI. His background spans natural language processing, medical AI, and large multimodal models, with prior research at King's College London and the University of Cambridge.

Senior research scientist at Google whose work spans large-scale machine learning and computational neuroscience.

Junaid Maqbool is a research scientist at Google DeepMind whose work focuses on machine learning, large language models, and medicine.

Research scientist at Google DeepMind working on machine learning for healthcare, trustworthy AI, and multimodal foundation models.

Research scientist at Google DeepMind working on multimodal medical AI and generative models for healthcare.

Research scientist at Google DeepMind.

Research scientist at Google DeepMind working on multimodal AI, generative models, and world models; previously held research roles at the University of Cambridge and the Alan Turing Institute.

Reader in Machine Learning at Imperial College London, long-term visitor at Google DeepMind, and AI for Science theme lead at the UKRI AI Centre for Doctoral Training in Foundational AI.

Founder and CEO of Google DeepMind, leading AI research and product development; his work spans AI, neuroscience, game playing, and structural biology.

Vice President of Engineering and Research at Google and site lead for the Google Center in Israel; he also leads Search, Research, and AI for Crisis Response.

VP and Lead for Health at Google DeepMind, and a clinical scientist and engineer focused on machine learning for health.

VP and Chief Scientist of Google Health, and a physician-engineer working on machine learning for healthcare.

Radiologist, researcher, and data scientist at Google DeepMind based in Sydney.

Juraj Gottweis is a software engineer at Google DeepMind working on medical AI, with interests in multimodal medical applications and large language models.

Michelle Xu is a software engineer at Google DeepMind interested in multimodal large language models and biomedical applications.

Researcher working on medical AI and multimodal foundation models, including Gemini-based health applications.