Dominik Stiller

I am a graduate student in the Department of Atmospheric and Climate Science at the University of Washington, advised by Greg Hakim. My work focuses on the variability and predictability of Earth’s energy budget on seasonal to millennial timescales. I approach this through initialized climate predictions over recent decades and paleoclimate reconstructions using climate models and proxy data over the last thousand years. Broader interests include machine learning, data assimilation, climate modeling, and volcanic forcing. Read more about my research here.

Before graduate school, I completed a B.S. in Aerospace Engineering at TU Delft and a B.S. in Computer Science at DHBW Stuttgart. For my undergraduate research, I worked on radiation pressure models for astrodynamical simulations and automated deep learning kernel optimization.