Ernesto Ulloa

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Magnuson Health Sciences Center - F Wing
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I'm from Mexico City where I obtained a bachelor's degree in Applied Mathematics at the Mexico Autonomous Institute of Technology (ITAM). Afterwards, I worked as a research assistant at the National Cancer Institute in Mexico (INCan) and the National Institute of Genomic Medicine (INMEGEN).

Currently, I'm a third year student in the PhD program in Biostatistics and I hold an RA position under the supervision of Jennifer Nelson, PhD. We’re working on assessing the performance of propensity score based methods in large healthcare databases with rare outcomes and exposures. The main goal of this project is to provide sound recommendations to health reseachers on which methods are best suited for this setting.

Another component of my research has been in studying the commonly used matching methods. My goal is to address why, when, and how researchers should use these methods to reliably answer their scientific questions. I have been working with doctors Marco Carone and Alex Luedtke on the asymptotic properties of propensity score based matching methods. We are currently exploring if one can estimate the propensity score in a robust fashion while providing valid inference.

I’m also interested in strengthening the relationships between other areas of health research and biostatistics. Currently, I’m helping Dr Ruth Etzioni on coding and providing motivating examples for a book for health services researchers.

I'm from Mexico City where I obtained a bachelor's degree in Applied Mathematics at the Mexico Autonomous Institute of Technology (ITAM). Afterwards, I worked as a research assistant at the National Cancer Institute in Mexico (INCan) and the National Institute of Genomic Medicine (INMEGEN).

Currently, I'm a third year student in the PhD program in Biostatistics and I hold an RA position under the supervision of Jennifer Nelson, PhD. We’re working on assessing the performance of propensity score based methods in large healthcare databases with rare outcomes and exposures. The main goal of this project is to provide sound recommendations to health reseachers on which methods are best suited for this setting.

Another component of my research has been in studying the commonly used matching methods. My goal is to address why, when, and how researchers should use these methods to reliably answer their scientific questions. I have been working with doctors Marco Carone and Alex Luedtke on the asymptotic properties of propensity score based matching methods. We are currently exploring if one can estimate the propensity score in a robust fashion while providing valid inference.

I’m also interested in strengthening the relationships between other areas of health research and biostatistics. Currently, I’m helping Dr Ruth Etzioni on coding and providing motivating examples for a book for health services researchers.