Carnegie Mellon University
LINCC Frameworks Faculty
Chad Schafer is a Professor in the Department of Statistics & Data Science at Carnegie Mellon University. For more than 20 years, he has been engaged in research and organizational activities at the interface of statistical methods and astronomy. Research interests have included the use of classical and likelihood-free inference for cosmological parameter estimation and nonparametric and semiparametric approaches to the estimation of natural summary parameters such as luminosity functions. He has been involved with the Rubin Observatory through the Informatics and Statistics Science Collaboration, serving as co-chair of this group for several years. He has been the co-chair of recent versions of the Statistical Challenges in Modern Astronomy series of meetings. He has also contributed to several summer schools and outreach opportunities aimed at advancing the level of data science methods used in astronomy.