Dr. Philipp Frank

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About

I am an Astronomy and Machine Learning researcher at the Kavli Institute for Particle Astrophysics and Cosmology (KIPAC) at Stanford University. As a KIPAC Fellow, my main research interest is to develop and apply statistical and ai methods to help deepen our understanding of the structure of the Milky Way and the Cosmos. I am particularly interested in 3D mapping of the interstellar medium and use ML to push it to unprecedented scales in both size and resolution, and to incorporate multiple additional tracers enabling a more comprehensive picture of local structures. This aims to shed light on the mechanisms of star formation and galaxy dynamics across scales only accessible through our unique vantage point within the Galaxy. I did my PhD and a followup Postdoc in Germany at the Faculty of Physics at Ludwig-Maximilians-University and the Max-Planck-Institute for Astrophysics where I worked on probabilistic ML and numerical inference methods and contributed to applications ranging from radio interferometry, X- and gamma-ray imaging, Cosmic Ray air-shower reconstructions, and 3d maps of the dust and gas content of our local Galactic neighborhood.

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