Professor Andrea Bertozzi (Left). Pictured on the right is an image showing an artistic interpretation of the work of Professor Andrea Bertozzi, generated by OpenArt AI system.
“Science can be messy. And so can the data collected in the process. When the data has repeats, overlaps, or isn’t directly tied to an on-the-ground measurement, standard computer programs can’t tackle the ambiguity. With the colossal amounts of data collected in every field from healthcare to astronomy, new tools to process this information are more important than ever. Andrea Bertozzi, Distinguished Professor of Mathematics and Mechanical and Aerospace Engineering at UCLA, is the lead university PI for a new research initiative to develop public domain tools to sort through complicated scientific data and reduce the amount of data needed.
This group won a Data Reduction for Science award from the Department of Energy in September, providing $4 million over three years. Bertozzi hosted the inaugural meeting of the group, which includes scientists from the University of Utah and Los Alamos National lab, at the California NanoSystems Institute (CNSI) on UCLA’s campus.”
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