I am an assistant research professor and statistician in the University of Arizona BIO5 Institute’s Statistics Consulting Laboratory. My background is in speech perception, neuroimaging, statistics, and public health research. My dissertation work focused on using functional magnetic resonance imaging to investigate speech perception in the brain. Specifically, it looked at how we can utilize spectral processing in primary and secondary auditory cortices to better understand phonetic processing. My current research interests include better understanding the neural correlates of Parkinson’s Disease and the development of novel statistical methods for imaging data. I also work with collaborators on a wide range of research topics.
With a cognitive neuroscience, linguistics, public health, and statistics background, I have extensive experience across the research spectrum. This includes experience designing and powering studies, collecting data, interfacing with REDCap databases, and analyzing a wide range of data (e.g. continuous, dichotomous, zero-inflated, multi-category, time-to-event) from a plethora of research designs (e.g. hierarchical, cluster-randomized, longitudinal, retrospective, and prospective). I have experience creating balanced comparison groups from non-randomized data and handling missing data. I utilize both well-tested and more recently-developed methods in my work, and all analyses are done in a reproducible manner.
I am an assistant research professor and statistician in the University of Arizona BIO5 Institute’s Statistics Consulting Laboratory. My background is in speech perception, neuroimaging, statistics, and public health research. My dissertation work focused on using functional magnetic resonance imaging to investigate speech perception in the brain. Specifically, it looked at how we can utilize spectral processing in primary and secondary auditory cortices to better understand phonetic processing. My current research interests include better understanding the neural correlates of Parkinson’s Disease and the development of novel statistical methods for imaging data. I also work with collaborators on a wide range of research topics.
With a cognitive neuroscience, linguistics, public health, and statistics background, I have extensive experience across the research spectrum. This includes experience designing and powering studies, collecting data, interfacing with REDCap databases, and analyzing a wide range of data (e.g. continuous, dichotomous, zero-inflated, multi-category, time-to-event) from a plethora of research designs (e.g. hierarchical, cluster-randomized, longitudinal, retrospective, and prospective). I have experience creating balanced comparison groups from non-randomized data and handling missing data. I utilize both well-tested and more recently-developed methods in my work, and all analyses are done in a reproducible manner.