Scholar
Vivek Natarajan
Google Scholar ID: gZiW7IAAAAAJ
Research Lead, Google DeepMind
Citations & Impact
Citations
13,650
H-index
30
i10-index
36
Publications
20
Co-authors
0
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Vivek's research has been published in well-regarded journals and conferences like Nature, Nature Medicine, Nature Biomedical Engineering, JMLR, CVPR, ICCV, and NeurIPS. It also forms the basis for several regulated medical device products under clinical trials at Google, including the NHS AI award-winning breast cancer detection system Mammo Reader and the skin condition classification system DermAssist.
Research Experience
- Prior to Google, Vivek worked on multimodal assistant systems at Facebook AI Research, published award-winning research, was granted multiple patents, and deployed AI models to products at scale with hundreds of millions of users. Currently, he is part of the faculty for executive education at Harvard T.H. Chan School of Public Health in a part-time capacity.
Background
- Vivek Natarajan is a Research Scientist at Google leading research at the intersection of AI, medicine, and science. He is the lead researcher behind Med-PaLM and Med-PaLM 2, which were the first AI systems to obtain passing and expert-level scores on US Medical License exam questions, respectively. Vivek also led the development of Med-PaLM M, the first demonstration of a generalist biomedical AI system, and AMIE, a research AI system that surpassed Primary Care Physicians on multiple axes pertaining to diagnostic dialogue in a randomized study conducted in the style of a virtual Objective Structured Clinical Examination (OSCE). His most recent work introduced Med-Gemini, a family of multimodal models for medicine with advanced reasoning, web search integration, and multimodal understanding spanning millions of context tokens.
Miscellany
- Vivek is always happy to discuss AI and its application in healthcare, bio, & robotics among others. However, he doesn’t have any active internship openings in his team, so he recommends applying to the public roles for Google Research and Google Deepmind. You can reach out to him on Twitter @vivnat or use calendly.com/natviv to set up a chat.
Co-authors