John Harlim, Penn State Institute for Computational and Data Sciences (ICDS) co-hire and professor of mathematics and meteorology, uses his experience in applied mathematics and data sciences to design computational algorithms and understand which scientific problems they can and can't solve. Above, hands on a laptop keyboard work on mathematical equations. Credit: New Africa/Adobe Stock.
ICDS co-hire uses experience to develop fundamental algorithms
Posted on August 22, 2024Editor’s Note: A version of this story was originally published on Penn State News.
Penn State Institute for Computational and Data Sciences (ICDS) co-hire and professor of mathematics and meteorology John Harlim uses his experience in applied mathematics and data science to design computational algorithms and understand which scientific problems they can and can’t solve.
Harlim first started his career working on a data assimilation method motivated by weather forecasting applications, or an approach that involves combining modeling and observations to provide the best weather prediction. He has since shifted his focus to more general computational and applied mathematics, largely due to his interest in addressing modeling errors for accurate predictions in scientific modeling, including data assimilation.
“The main challenge is to uncover the unknown mechanism that affects the dynamics based on the available data,” Harlim said.
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