Maria Cuellar is a Ph.D. student at Carnegie Mellon University.
I am a doctoral student at Carnegie Mellon University in the joint program between the Department of Statistics and the Heinz College School of Public Policy and Management.
I work primarily with Stephen E. Fienberg. My work is driven by interdisciplinary projects in statistics, public policy and human rights.
I have recently been involved with the Center for Statistics and Applications in Forensic Evidence, Human Rights Data Analysis Group, the Carnegie Mellon Center for Human Rights Science, and the CMU National Science Foundation Census Research Network.
I currently research causation in legal contexts by using the Causes of Effects and Effects of Causes framework developed by Philip Dawid, Stephen E. Fienberg, and their co-authors. I have applied this framework to evaluate the use of scientific evidence in cases of Shaken Baby Syndrome and other forms of child abuse. I also work on projects outside child abuse, and I am exploring using experimental design to develop a blinding mechanism that can reduce contextual bias in forensic analysis. I am interested in developing survey methodology for hard-to-reach populations by using network sampling and capture-recapture methodology. I have also worked on the problem of estimating underreporting of self-reported drug usage with Jonathan P. Caulkins.