Sarah is a statistical researcher focusing on the mathematical foundations of measurement models.
Sarah recently completed a Ph.D. in Statistics and Applied Probability and a Master’s degree in Mathematical Statistics at the University of California, Santa Barbara. Her dissertation focused on clustered binary outcomes and their connection to measurement models in classical test theory, item response theory, and the Rasch measurement model.
While in graduate school, Sarah was a teaching assistant for six years and independently taught an upper-level statistics undergraduate course. This continuous contact with students enabled her to develop her communication skills and learn to effectively convey mathematical and statistical principles in logical, intuitive terms.
Sarah also has a BS in Math and Spanish from Tufts University, Boston. She was born in France and is fluent in French and English.