Michael David Escobar is an American biostatistician who is known for Bayesian nonparametrics, mixture models.
Escobar earned a degree in mathematics at Tufts University in 1981 followed by a doctorate in statistics at Yale University in 1988 under the supervision of John Hartigan.
Between 1990 and 1994, he was an assistant professor at Carnegie Mellon University.
[1] Escobar subsequently joined the University of Toronto faculty.
[1][2] In 2015, he was elected a fellow of the American Statistical Association.