Indian-origin scientist Prof. Anima Anandkumar has been named among TIME’s 100 most influential people in artificial intelligence in the TIME100 AI 2026 list, recognising her work at the intersection of artificial intelligence and science. The recognition comes as Prof. Anandkumar begins a new chapter with the launch of Accelerated Understanding, a company she co-founded to use AI to accelerate scientific simulation and understanding of the physical world.
The Bren Professor of Computing and Mathematical Sciences at the California Institute of Technology (Caltech), she has worked on AI applications spanning weather forecasting, nuclear fusion, medical technology, quantum computing and chip design. TIME has highlighted her development of AI methods capable of modelling complex physical processes far faster than traditional approaches.
In March 2026, she was also appointed to the United Nations Secretary-General’s Scientific Advisory Board, which provides independent scientific advice on global challenges.
From Mysore To Caltech
Born in Mysore, Karnataka, Prof. Anandkumar developed an early interest in mathematics, science and technology. She completed her BTech in electrical engineering from IIT Madras in 2004 before earning a PhD in electrical engineering from Cornell University in 2009. She subsequently conducted postdoctoral research at the Massachusetts Institute of Technology (MIT).
Her professional career has included work in both academia and industry. At Amazon Web Services, she became a Principal Scientist and contributed to the development and launch of Amazon SageMaker, a machine-learning service. She joined Caltech as a professor in 2017 and later served as Senior Director of AI Research at NVIDIA. She currently holds the position of Bren Professor of Computing and Mathematical Sciences at Caltech, where she leads research into AI and its applications to scientific problems.
AI Meets Science
A major focus of Prof. Anandkumar’s research is neural operators, a class of AI methods designed to learn and simulate complex physical processes. Rather than focusing primarily on language, these systems can be used to model phenomena governed by physical laws. Her work has contributed to AI-based weather forecasting, including FourCastNet, a high-resolution weather forecasting model developed through collaboration involving NVIDIA, Caltech and other researchers.
Her research has also explored applications in areas such as nuclear fusion, medical technology, quantum systems and semiconductor manufacturing. TIME has recognised the potential of such approaches to significantly reduce the time required for certain scientific simulations. Prof. Anandkumar has argued that one of AI’s most important opportunities lies in helping scientists understand and solve problems involving the physical world.
A New Chapter
The TIME recognition comes shortly after Prof. Anandkumar publicly launched Accelerated Understanding, which she co-founded with AI researcher Benedikt Jenik. The company is focused on developing AI systems that can accelerate scientific discovery by improving the modelling and simulation of physical phenomena. Following her inclusion in TIME’s list, Prof. Anandkumar described the recognition as an honour and reiterated that bringing AI and science together has been a central focus of her work for the past decade.
Her growing involvement in global science policy has also brought her work into a wider public forum. In March 2026, she was appointed to the UN Secretary-General’s Scientific Advisory Board, a 15-member body that provides independent advice on developments in science and technology and their implications for sustainable development and society. Her role includes contributing expertise on areas where AI intersects with challenges such as weather, climate, food and disease.
Why It Matters
Prof. Anandkumar’s recognition is significant not only because she is an Indian-born scientist being recognised on a major global AI platform, but also because of the kind of problems her research seeks to address. Her work demonstrates how artificial intelligence can be applied beyond chatbots and content generation to areas with direct consequences for society, including extreme-weather forecasting, healthcare, energy and scientific research.
As governments, companies and researchers debate how AI should develop, her emphasis on combining technological innovation with scientific understanding offers another perspective on the technology’s possibilities. It also highlights the importance of sustained investment in education, research and opportunities for scientists to work across disciplines.
The Logical Indian’s Perspective
Prof. Anandkumar’s journey illustrates how curiosity, education and scientific collaboration can create impact well beyond national borders. At a time when conversations about AI are often shaped by fear, competition and uncertainty, using the technology to deepen scientific understanding and address shared challenges offers a more constructive path. Technological progress should ultimately be measured not simply by how powerful AI becomes, but by how responsibly and inclusively its capabilities are used. How can India create more opportunities for young researchers to use science and technology to solve challenges that affect communities around the world?
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