Dominik Stiller is a graduate research assistant in Atmospheric and Climate Science at the University of Washington specializing in low-frequency climate variability and multidecadal oscillations of Earth’s energy budget. He combines a PhD focus on reconstructing millennium-scale top-of-atmosphere radiation with practical strengths from dual undergraduate degrees in aerospace engineering and computer science, enabling rigorous, computationally efficient approaches to paleoclimate data assimilation. His work leverages climate models, proxy data, and fast emulators to advance paleoclimate reconstruction and decadal prediction. Previously he developed automated deep-learning kernel schedulers during industry internships, an effort that led to a U.S. patent, highlighting a knack for translating research-grade algorithms into performant systems. Based in Seattle, he brings 12 years of cumulative technical experience and a commitment to data-driven climate science that bridges theory and implementable tools.
12 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Atmospheric and Climate Science, Doctor of Philosophy - PhD Atmospheric and Climate Science at University of Washington
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Baden-Wuerttemberg Cooperative State University (DHBW)
Bachelor of Science - BS Aerospace Engineering, Bachelor of Science - BS Aerospace Engineering at Delft University of Technology
A C++ platform to perform astrodynamics and space research.
Contributions:118 pushes, 1 branch in 1 year 2 months
cppastrophysicsorbitc-plus-plusastrodynamics
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