Assistant Professor, Washington University in St. Louis
Dr. Tansu Daylan develops a transdimensional and Bayesian inference framework to simulate and model strong lenses with dark matter substructure. Identification of dark matter subhalos in LSST strong lenses will advance our understanding of dark matter microphysics by testing LCDM at galactic and subgalactic scales. Dr. Daylan was recently an LSST Discovery Alliance Fellow before starting a faculty position in August 2023. He is a CIMER Level 1 mentor and has served in various mentorship programs during his two postdocs.