678925 news 1734450211 1734450507 <![CDATA[EAS Graduate Student Donglai Yang Selected iHARP Polar Informatics Graduate Fellow]]> Donglai Yang, a second-year PhD student in geophysics at the EAS advised by Winnie Chu, was selected as the iHARP Polar Informatics graduate fellow for 2025, one of the two recipients among the inaugural cohort.

The iHARP Polar Informatics fellowship is awarded to graduate researchers who combine data science and polar science to promote physics-informed, data-driven discoveries. The award provides him one year of full funding and an opportunity to be co-mentored by researchers from iHARP participating institutes.

A member of the Polar Geophysical Simulation Lab, Donglai currently studies the thermodynamics of Antarctic Ice Sheet by combining ice-penetrating radar observations, numerical ice sheet models, and physics-informed machine learning. The fellowship will facilitate collaborations with computational glaciologists at Dartmouth College to better image the temperature of Antarctic Ice Sheet at its base, which critically controls the ice sheet motion and its contribution to future sea level rise.

iHARP is a part of NSF Harnessing the Data Revolution (HDR) institute community with specific focus on the polar regions.

 

]]> 2024-12-17T00:00:00-05:00 Donglai Yang, a second-year PhD student in geophysics at EAS, was chosen as one of the two inaugural recipients of the 2025 iHARP Polar Informatics fellowship. This fellowship supports graduate researchers who integrate data science with polar science to enable data-driven, physics-informed discoveries. It offers full funding for one year and co-mentorship from iHARP-affiliated researchers. Donglai's work focuses on the thermodynamics of the Antarctic Ice Sheet, combining radar observations, ice sheet models, and machine learning. The fellowship will facilitate collaboration with computational glaciologists at Dartmouth College to study the ice sheet's temperature, which is key to understanding its motion and contribution to sea level rise. iHARP is part of the NSF Harnessing the Data Revolution initiative, focusing on polar research.

]]> 675872 image <![CDATA[donglai-yang.jpg]]> 259546 image/jpeg 364801 https://glacier-geophys.eas.gatech.edu/team-chu.html https://iharp.umbc.edu https://iharp.umbc.edu/op/fellowships/ https://glacier-geophys.eas.gatech.edu 364801