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							<h2>Philipp Frank</h2>
							<p>Philipp Frank is an Astronomy and Machine Learning researcher who is developing and applying
                                statistical and AI methods to help deepen our understanding of the structure of the Milky Way
                                and the Cosmos. He did his PhD and a followup Postdoc in Germany at Ludwig Maximilians University
                                and the Max-Planck-Institute for Astrophysics where he 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.
                                As a KIPAC Fellow at Stanford he aims to push 3D mapping of the interstellar medium to unprecedented scales
                                in both size and resolution, and incorporate multiple additional tracers for 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.
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