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internationally recognized cosmologist and data scientist with over 25 years of experience bridging theoretical cosmology, advanced computational methods and ML/AI. He co-leads the Implicit Likelihood Inference
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experience in observational data analysis. Expertise in variable stars, supernovae, cosmology, or related areas and/or photometry is welcome but not required; strong quantitative and computational skills
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into concrete observational and computational strategies. This work will be carried out under the supervision of Professor Alessandra Corsi, in close connection with collaborators at the JHU’s Institute for Data
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double-beta decay. A position is now available for the experimental axion dark matter search program at Johns Hopkins in conjunction with the HAYSTAC and ALPHA experiments. HAYSTAC (the Haloscope At Yale