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Advancing Multimodal Medical Capabilities of Gemini
Medical Multimodal Models report from Google Gemini with 47 connected researchers in the LLMpeople atlas.
Connected researchers
Yossi Matias
Google Gemini
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.
Demis Hassabis
Google Gemini
Founder and CEO of Google DeepMind, leading AI research and product development; his work spans AI, neuroscience, game playing, and structural biology.
Timo Kohlberger
Google Gemini
Staff Research Scientist at Google DeepMind based in Zurich, focusing on multimodal medical foundation models and trustworthy AI for health.
Shekoofeh Azizi
Google Gemini
Shekoofeh Azizi is a staff research scientist and research lead at Google DeepMind. Her Google Research profile says she works on biomedical super-intelligence to accelerate scientific discovery, with a particular focus on cancer, and helps lead efforts behind Med-PaLM, Med-Gemini, TxGemma, Tx-LLM, and C2S-Scale. UBC's Centre for Internet Computing profile says she earned a bachelor's degree in electrical engineering from Sharif University of Technology and a PhD in computer science from the University of British Columbia.
Claire Cui
Google Gemini
Claire Cui is a Google Fellow in the Google Brain team, where she leads research on deep generalist learning, large language models, multimodal learning, and interpretable AI. During her tenure at Google she helped found AdSense for Content and co-founded Google Health Research and Medical Brain; she holds a Ph.D. in computer science from Stanford and a B.S. in computer science from Tsinghua University.
Greg S. Corrado
Google Gemini
Senior research scientist at Google whose work spans large-scale machine learning and computational neuroscience.
Scott Mayer McKinney
Google Gemini
Scott Mayer McKinney is a coauthor on medical-imaging AI studies published through Google Research and biomedical venues, including work on breast cancer screening and mammography triage.
Dale R. Webster
Google Gemini
Dale R. Webster is listed as an author of the Google technical report Advancing Multimodal Medical Capabilities of Gemini.
Yuan Liu
Google Gemini
Yuan Liu is listed as an author of the Google technical report Advancing Multimodal Medical Capabilities of Gemini.
Juraj Gottweis
Google Gemini
Juraj Gottweis is a software engineer at Google DeepMind working on medical AI, with interests in multimodal medical applications and large language models.
Pooja Singhal
Google Gemini
Pooja Singhal is listed as an author of the Google technical report Advancing Multimodal Medical Capabilities of Gemini.
Ali Karthikesalingam
Google Gemini
VP and Lead for Health at Google DeepMind, and a clinical scientist and engineer focused on machine learning for health.
Vivek Natarajan
Google Gemini
Research scientist at Google DeepMind working on multimodal medical AI and personalized health applications.
Derek Oakden-Rayner
Google Gemini
Radiologist, researcher, and data scientist at Google DeepMind based in Sydney.
Moein Shakeri
Google Gemini
Moein Shakeri is listed as an author of the Google technical report Advancing Multimodal Medical Capabilities of Gemini.
Jeremy Lau
Google Gemini
Jeremy Lau is listed as an author of the Google technical report Advancing Multimodal Medical Capabilities of Gemini.
Nishanth Sastry
Google Gemini
Nishanth Sastry is listed as an author of the Google technical report Advancing Multimodal Medical Capabilities of Gemini.
Rohit Shetty
Google Gemini
Rohit Shetty is listed as an author of the Google technical report Advancing Multimodal Medical Capabilities of Gemini.
James C. Maron
Google Gemini
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.
Xin Wang
Google Gemini
Xin Wang is listed as an author of the Google technical report Advancing Multimodal Medical Capabilities of Gemini.
Suzan Khoubyari
Google Gemini
Suzan Khoubyari is listed as an author of the Google technical report Advancing Multimodal Medical Capabilities of Gemini.
Junaid Maqbool
Google Gemini
Junaid Maqbool is a research scientist at Google DeepMind whose work focuses on machine learning, large language models, and medicine.
Khaled Saab
Google Gemini
Member of Technical Staff at OpenAI focused on accelerating biomedical intelligence. He was previously a Research Scientist at Google DeepMind.
Rose McNerney
Google Gemini
Google DeepMind researcher working on medical AI, multimodal systems, large language models, and human-computer interaction, and a co-author of work on Gemini's multimodal medical capabilities.