Since starting with Jeff in July 2016, I’ve been working with the data in recount to build phenotype predictors capable of accurately predicting tissue, sex, and age. I have begun to use the predictions to improve analyses and better understand expression in humans.
Before joining Jeff, I received my Ph.D. in human genetics from the Institute of Genetic Medicine at the Johns Hopkins University School of Medicine. In Dan Arking’s lab I focused on improving our understanding of autism. To do this, I used post-mortem cortical brain samples from autism cases and controls to study alterations in gene expression and methylation.
Regarding my interests, I love analyzing human data carefully and teaching others how to do so. I, of course, like pristine data sets. However, data are generally messy. Fortunately, I also really enjoy digging into and untangling the mess that often results from the generation of large amounts of data. So, if there’s a data set and an interesting question, I’m probably interested.
When I’m not analyzing data, cursing myself for a bug in my code, or writing about these endeavors, I harbor reasonable obsessions for beach volleyball, FiveThirtyEight, baking, podcasts, and riding my bike all around Baltimore.