LONDON—Four researchers using artificial intelligence (AI) to advance scientific discovery across health, sustainability, and manufacturing have been named the inaugural winners of the Nature Awards AI for Discovery. Their research spans identifying previously unknown molecules in the human body, analyzing complex materials data, developing AI-enabled sensors, and improving infectious disease surveillance and outbreak forecasting.
The global award was launched earlier this year by the BCG X AI Science Institute, part of Boston Consulting Group (BCG), in partnership with Nature Awards, part of Springer Nature. Announced at a ceremony in London, the awards recognize researchers applying AI and machine learning to scientific challenges with the potential for real-world impact.
Redefining Scientific Research With AI
Researchers are increasingly using AI to investigate scientific problems, enabling them to analyze larger volumes of data, explore more possibilities, and model increasingly complex systems.
The BCG X AI Science Institute brings advanced AI to research, discovery, and innovation. Working with academics, industry experts, and leading R&D teams, the Institute combines AI capabilities with scientific and industry expertise to address complex challenges across fields including materials science, drug discovery, Earth observation, and climate.
Adi Zolotov, Managing Director and Partner at BCG and Global Leader of the BCG X AI Science Institute explained, “The most exciting breakthroughs happen when exceptional scientific minds are equipped with entirely new capabilities. These four researchers demonstrate what becomes possible when deep scientific expertise meets the power of AI. Through this award, we want to recognize the pioneers who are redefining scientific discovery and help them take their ideas even further. Their work offers a glimpse into the future of science.”
Four Researchers Recognized for AI-Driven Scientific Innovation
The winners demonstrate how AI is being applied across scientific disciplines to advance research and address complex challenges:
- Michael Skinnider, Princeton University, United States | Health & Life Sciences. Skinnider uses AI to identify previously unknown molecules in the human body, with the potential to reveal new markers of disease and targets for future treatments.
- Kevin Jablonka, Friedrich Schiller University Jena, Germany | Energy, Environment & Agriculture. Jablonka uses AI to bring together experimental results and scientific literature, helping researchers navigate complex chemical and materials data and support new discoveries.
- Yang Chai, The Hong Kong Polytechnic University, Hong Kong | Industry, Infrastructure & Manufacturing. Chai is developing sensors that can process information using AI directly within the device, enabling faster and more efficient real-time sensing.
- Houriiyah Tegally, CERI/Stellenbosch University, South Africa | Health & Life Sciences. Tegally combines AI with genomic, epidemiological, and climate data to improve infectious disease monitoring and outbreak forecasting.
Together, the winning projects illustrate how AI can support scientific research across different disciplines, from understanding biological systems and developing new materials to improving sensing technologies and monitoring infectious diseases.
Supporting the Next Generation of AI-Enabled Research
Each of the four winners will receive a $10,000 development grant to support the next phase of their research, alongside bespoke virtual training delivered by BCG X AI Science Institute experts.
The award brings together BCG X's expertise in AI and scientific innovation with Nature Awards' work recognizing scientific excellence and research impact.
Speaking of the awards Harsh Jegadeesan, Chief Publishing Officer at Springer Nature and Chair of the judging panel said:
“These four researchers demonstrate how AI can support scientific discovery when used responsibly. Their work across health, sustainability, and manufacturing highlights the breadth of possibilities these technologies are opening for discovery, with the potential to accelerate research and deliver real-world impact. We are delighted to recognize their achievements and support the next stage of their work.”
The inaugural award reflects a growing range of applications for AI in scientific research, including areas where the scale and complexity of data have historically limited the questions researchers could investigate.
For more information on the winners and their research, visit the Nature Awards AI for Discovery website.
Media Contact
Eric Gregoire: gregoire.eric@bcg.com
About BCG X AI Science Institute
The BCG X AI Science Institute brings advanced AI to research, discovery, and innovation. Working with academics, industry experts, and leading R&D teams, the Institute combines AI capabilities with scientific and industry expertise to address complex challenges across fields including materials science, drug discovery, Earth observation, and climate.
About BCG X
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About Springer Nature
Springer Nature is one of the leading publishers of research in the world. We publish the largest number of journals and books and are a pioneer in open research. Through our leading brands, trusted for more than 180 years, we provide technology-enabled products, platforms and services that help researchers to uncover new ideas and share their discoveries, health professionals to stay at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world. For more information, please visit about.springernature.com and @SpringerNature.
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