Ishani A. Karmarkar Receives 2020 Henry Ford II Scholar Award
Applied and computational mathematics student Ishani A. Karmarkar is a recipient of the 2020 Henry Ford II Scholar Award. Ishani is interested in data science and numerical algorithms, as well as applications to physical problems. This summer, she will be working on a SURF project on graph-based semi-supervised learning algorithms with Bamdad Hosseini, Senior Postdoctoral Scholar Research Associate, and Andrew Stuart, Bren Professor of Computing and Mathematical Sciences. In the past, she has also worked on a fluid modelling project with Sandra Troian, Professor of Applied Physics, Aeronautics, and Mechanical Engineering, and completed a summer internship at Facebook. The Henry Ford II Scholar Award is funded under an endowment provided by the Ford Motor Company Fund. The award is made annually to engineering students with the best academic record at the end of the third year of undergraduate study.
Henry Ford II Scholar Award
New Climate Model to Be Built from the Ground Up
"Projections with current climate models—for example, of how features such as rainfall extremes will change—still have large uncertainties, and the uncertainties are poorly quantified," says Professor Tapio Schneider, principal investigator of the Climate Modeling Alliance (CliMA). "For cities planning their stormwater management infrastructure to withstand the next 100 years' worth of floods, this is a serious issue; concrete answers about the likely range of climate outcomes are key for planning." The new climate model will be built by a consortium of researchers led by Caltech, in partnership with MIT; the Naval Postgraduate School (NPS); and JPL, which Caltech manages for NASA. It will use data-assimilation and machine-learning tools to improve itself in real time, harnessing both Earth observations and the nested high-resolution simulations. "The success of computational weather forecasting demonstrates the power of using data to improve the accuracy of computer models; we aim to bring the same successes to climate prediction," says Professor Andrew Stuart. [Caltech story]