Stanford University
Showing 11-20 of 76 Results
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Suchetha Cooray
Postdoctoral Scholar, Physics
BioSuchetha Cooray is a KIPAC Postdoctoral Fellow at Stanford University. His research operates at the intersection of observational data, galaxy formation physics, cosmological theory, and artificial intelligence.
Suchetha is broadly interested in decoding the "cosmic ecosystems" that drive galaxy growth and evolution. His work seeks to reveal the complete lifecycle of galaxies—tracing their origins from density peaks of dark matter, through the complex interaction of their baryonic components, to their eventual cessation of star formation. Galaxy formation presents a profound computational challenge, as physical processes span at least 14 orders of magnitude, from the sub-parsec scales of black hole accretion disks to the vast web of cosmic large-scale structure.
To navigate this complexity, Suchetha employs numerical simulations and machine learning to build statistically robust models of the Universe, connecting the first galaxies revealed by JWST to the mature populations of the present day. As the field enters a transformative decade for precision cosmology, his research focuses on maximizing the scientific insights from upcoming major surveys—including PFS, Euclid, Rubin LSST, SPHEREx, and Roman.
Previously, Suchetha was a JSPS Postdoctoral Fellow at the National Astronomical Observatory of Japan and earned his doctorate at Nagoya University. -
John Franklin Crenshaw
Postdoctoral Scholar, Physics
Current Research and Scholarly InterestsObservational Cosmology, Large Scale Structure, Galaxy Evolution, Machine Learning in Science, Survey Astronomy, Active Optics
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Philipp Frank
Postdoctoral Scholar, Physics
BioPhilipp 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.
