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Biography

Linda Hung is a Senior Research Scientist in the Accelerated Materials Design and Discovery division at Toyota Research Institute (TRI). She obtained her PhD in applied and computational mathematics from Princeton University, and held research positions at the Ecole Polytechnique (France), the University of Illinois Chicago, and the National Institute of Standards and Technology before joining TRI in 2017.

She has a background in density functional theory and other first-principles simulation methods, with applications in computational spectroscopy.  Her current work explores how machine learning can accelerate materials simulation, and how to integrate data-driven methods into discovery workflows. Her research focuses on energy materials and involves the development of software tools aiming to shorten the materials innovation timeline.

番茄社区 affiliations

• Editorial board, Digital Discovery