
About
Benjamin D. Wandelt is a Research Professor at Johns Hopkins University with joint appointments in the Department of Physics and Astronomy and the Department of Applied Mathematics and Statistics. As a cosmologist and data scientist, he studies fundamental physics through astronomical observations using AI/ML and statistical inference. His research connects theoretical astrophysics with large-scale astronomical data to explore the cosmological framework.
Research Focuses:
- Cosmological parameter estimation from supernova and CMB data
- Dark energy constraints through large-scale structure
- Machine learning applications in astrophysical inference
- Statistical methods for cosmological data analysis
Major Honors:
- Gruber Prize in Cosmology (2018)
- Friedrich Wilhelm Bessel Prize
- Fellow of the American Physical Society
- Fellow of the International Association of Astrostatisticians
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