Post Doctoral Fellow, University of California, Berkeley
Amalie is a postdoc in Gerbrand Ceder's group in the materials science division at Lawrence Berkeley National Lab. She began her career as a nuclear physicist, before moving into materials science in 2019, with a focus on machine learning. Her research interests include the application of natural language processing techniques to scientific literature, and building thermodynamically-motivated ML models for materials property prediction
Since the onset of the COVID-19 pandemic, she has shifted her research focus to using NLP to analyse the COVID-19 literature. She is one of the lead developers on the COVIDScholar (www.covidscholar.org) project.
AI tool searches thousands of scientific papers to guide researchers to coronavirus insights
May 14, 2020 10:43 am UTC| Technology
The Research Brief is a short take about interesting academic work. The big idea The scientific community worldwide has mobilized with unprecedented speed to tackle the COVID-19 pandemic, and the emerging research...
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