Nobel Prize-winning chemist Omar Yaghi is leaving the University of California, Berkeley, to become a full professor at China's Tsinghua University, where he will lead a new research institute focused on using artificial intelligence to discover novel materials. The move comes amid US science funding cuts and China's intensified recruitment of top researchers, drawing attention in the scientific community.
MOF pioneer takes on AI-driven materials discovery
Yaghi is a pioneer of metal-organic frameworks (MOFs), porous materials with vast internal surface areas that can be used for gas storage, catalysis, atmospheric water harvesting, carbon capture, and drug delivery. He shared the 2025 Nobel Prize in Chemistry for his contributions to the field. His new institute at Tsinghua aims to transform the traditional, trial-and-error approach to materials development by applying AI to design and synthesis. The university said the goal is to shorten the discovery cycle and overcome the inefficiency of manual experimentation.
Yaghi's move is part of a broader push to integrate AI for Science & Research, a field that is reshaping how new materials are identified. Tsinghua has been building its AI capabilities, and the appointment of a Nobel laureate signals a serious commitment to high-level, interdisciplinary research.
US funding uncertainty and China's rising R&D spending
The shift in Yaghi's career also reflects changes in the scientific environment. In a recent interview with Scientific American, Yaghi described the situation in US science as "not very encouraging," citing cuts to research funding and reduced support for scientific institutions. He urged US researchers to embrace the AI revolution, calling it "a matter of survival for the US advanced research system."
While the US has seen proposals to slash science budgets, China's research spending has grown. The Organisation for Economic Co-operation and Development (OECD) reported that China's total research expenditure reached $1.03 trillion in 2024, surpassing the US's $1.01 trillion. Nature reported that China is using large-scale funding and support to attract international researchers. Yaghi is not alone: neuroscientist Dan Yang, formerly of UC Berkeley, moved to the Shenzhen Institute for Translational Medicine last year, and liver cancer researcher Feng Gensheng left UC San Diego to direct the Cancer Research Institute at the Shenzhen Bay Laboratory.
Signaling a new model for Chinese research
Marina Zhang, associate professor of Chinese Innovation Policy at the University of Technology Sydney, told Nature that Yaghi's appointment differs from earlier efforts to recruit foreign scholars. "It may be that after winning the Nobel Prize, Professor Yaghi wants to take on something bigger," she said, adding, "It appears to be an attempt to create a new research paradigm by combining AI with chemistry and materials science." Zhang said that while China previously brought in scientists mainly for student education, this move signals a push to build distinct research domains and technological capabilities, not just catch up to existing science powers.
Why this matters for science and research professionals
Yaghi's move highlights the growing role of AI in materials science and the global competition for research talent. For professionals in the field, the ability to integrate computational methods and AI into experimental workflows is becoming essential. The shift also underscores the importance of monitoring international funding trends and institutional support, as career decisions are increasingly shaped by where resources and infrastructure are strongest. Staying current with AI tools and techniques is central to keeping pace with discovery and maintaining a competitive edge.
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