Leander Friedrich Thiele
Project Assistant Professor (from 2024/03/01 )
Research Field
Astronomy (Astrophysics)
<leander.thiele _at_> 

Last Update 2024/03/05

I work in theoretical and data-driven cosmology. Currently, my interests revolve around the non-linear aspects of the late-time universe, including cosmic voids, higher-order statistics for weak lensing, and the thermal Sunyaev-Zel'dovich effect. I am also interested in the galaxy-halo connection and field-level methods.

Methods-wise, I have experience running and working with numerical simulations, including full-physics, N-body, and approximate surrogates. Much of my work involves machine learning, in particular baryon pasting and implicit likelihood-inference. I strive to elevate applications of machine learning in cosmology from unwieldy black boxes to interpretable models with limited, well-defined scope.

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