Postdoctoral Fellow, Applied Physics Laboratory, Polar Science Center
Applied Physics Laboratory and Polar Science Center
Sasha Aravkin, Applied Mathematics
Anthony Arendt, eScience Institute
Ph.D., Applied Mathematics, University of Washington (2016)
B.Sc., Applied Mathematics, McGill University (2010)
Selected as a Moore/Sloan Data Science and Washington Research Foundation Innovation in Data Science Postdoctoral Fellow, Daniel has a joint position in PSC and UW’s eScience Institute, much like his supervisor, Anthony Arendt. In 2016, he earned his Ph.D. from the Department of Applied Mathematics under the supervision of Ian Joughin.
Daniel is interested in using numerical models of glaciers to ascertain their current state and how they will respond to the climate of the next century. In particular, many of the properties that we need to know about a glacier to make predictions of its flow in the future are not directly visible from satellite or airborne remote sensing; inferring these properties amounts to the solution of an inverse problem. Daniel is currently working on applying these ideas to study the biggest glaciers in Greenland.
In his free time, he enjoys playing piano and climbing things.