I am an assistant professor at the University of Virginia with joint faculty appointments in the Quantitative Psychology program and the School of Data Science. Broadly, my research focuses on developing and building innovative methods, tools, and R packages for network science and dynamical systems modeling for use in neuroscience, developmental science, & clinical science. My quantitative expertise is in graph theory, control methods, Bayesian estimation, and exponential random graph models. My substantive expertise is in functional neuroimaging, neurodevelopmental disorders (e.g., autism, ADHD), and natural language processing (e.g., political blog topic analysis, semantic networks).
Previously, I completed a postdoctoral fellowship on the Innovative Methods in Pathogenesis and Child Treatment (IMPACT) T32 mentored by Drs. Brooke Molina and Cecile Ladouceur at the University of Pittsburgh. During this fellowship, I built network tools to assess functional connectivity across the brain, with particular application to neural correlates of childhood psychopathology.
I received my Ph.D. in Quantitative Psychology and an M.Sc. in Statistics from the University of North Carolina at Chapel Hill (UNC-CH) where I worked primarily with Dr. Kathleen Gates. I also completed my first postdoc in Dr. Jessica Cohen’s lab at UNC-CH where I gained deeper training in neuroimaging methods as well as cognitive and clinical neuroscience.
Before I started my PhD, I received my B.Sc. in Psychology with double minors in Mathematics and Philosophy at the University of Washington in Seattle, WA. I started out thinking I wanted to pursue bioengineering but quickly discovered my love of data, statistics, and psychology, in large part thanks to my undergraduate research mentor Dr. Kevin King, with whom I completed my senior honors thesis.
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