The useful question is what changes for users, developers or buyers, and whether the announcement stays industry context or becomes something people can actually use.

Ana Kupresanin, Director of the Scientific Data Division at Lawrence Berkeley National Laboratory, oversees efforts to develop methods and infrastructure that make scientific data usable, reliable, and reusable for research and AI applications. Her team supports the entire scientific data lifecycle, from organizing and curating data to enabling analysis and reuse, while also advancing machine learning and high-performance computing workflows. Kupresanin, a statistician and Fellow of the American Statistical Association, brings experience from Lawrence Livermore National Laboratory, where she worked on statistical methods and uncertainty quantification across multiple scientific disciplines.

Kupresanin emphasizes that scientific data are not generic inputs for AI but carry context, assumptions, and uncertainties that must be addressed to ensure reliable and interpretable results. Her work focuses on integrating statistical thinking, machine learning, and data infrastructure to create AI systems that are grounded in scientific principles. She highlights the potential of AI to accelerate discovery by connecting experiments, simulations, theory, and observations in new ways, provided the systems are built with scientific rigor.

Berkeley Lab’s role in the Department of Energy’s Genesis Mission centers on its ability to combine world-class expertise in scientific data, high-performance computing, and domain-specific research. The Lab’s facilities, automated laboratories, and advanced networking capabilities enable a connected scientific workflow where AI, experiments, and simulations work together. Kupresanin notes that the Lab’s strength lies in synthesizing these resources to support trustworthy AI for science, from data preparation to model development and interpretation.

Lawrence Berkeley National Laboratory, managed by the University of California for the U.S. Department of Energy’s Office of Science, conducts research in materials, chemistry, physics, and other fields to address energy and scientific challenges. Founded in 1931, the Lab has earned 17 Nobel Prizes and operates facilities relied upon by researchers worldwide. Its contributions to the Genesis Mission reflect its commitment to advancing AI for scientific discovery through integrated data, computing, and domain expertise.