A guide to using the R-Ladies xaringan slide theme
I am an Associate Professor of Pediatrics at Oregon Health & Science University (OHSU) in Portland, Oregon, and the Assistant Director of OHSU’s Center for Spoken Language Understanding, home to the Computer Science graduate education program. I earned my doctorate in developmental psychology, with a concentration in quantitative methods. My current research aims to evaluate whether Natural Language Processing methods can be translated into meaningful outcome measures for individuals with neurodevelopmental disorders like Autism, Down Syndrome, and Fragile X Syndrome. This research is driven by the need for good outcome measures to evaluate the impact of new treatments and interventions for improving language and social functioning. My work has been published in numerous peer-reviewed journals and book chapters, and has been funded by the Oregon Clinical and Translational Research Institute, the National Institutes of Health Office of Research on Women’s Health, and the National Institute on Deafness & Other Communication Disorders.
In addition to research, I teach four graduate-level courses using R, and I am the author of “Working with Data in the Tidyverse,” to be offered by DataCamp.com. I am also a co-author of the book “blogdown: Creating Websites with R Markdown” with Yihui Xie and Amber Thomas. Finally, I have developed and led several R workshops and smaller team-based training sessions, and love to train new “useRs”.
PhD in Developmental Psychology & Quantitative Methods, 2008
MSc in Developmental Psychology, 2005
BSc in Applied Psychology, 2002
Georgia Institute of Technology
Sat, Jun 2, 2018, Keynote at the Cascadia R Conference
Fri, Apr 6, 2018, OHSU BioData Club
Fri, Dec 8, 2017, Labhub Workshop
Thu, Sep 14, 2017, Portland R User Group Workshop
Fri, Jun 24, 2016, Hands-on Data Jamboree
Improving conversational use of spoken language is an important goal for many new interventions and treatments for children with neurodevelopmental disorders. However, progress in testing these treatments is limited by the lack of informative outcome measures to indicate whether or not an intervention or treatment is having the desired effect on a child’s conversational use of language (i.e., discourse skills). The goal of this project is to evaluate whether Natural Language Processing methods can be translated into meaningful outcome measure for individuals with a range of neurodevelopmental disorders. This project was recently funded by the National Institute of Deafness and Other Communication Disorders.
The goal of this project is to develop and validate a novel objective measurement tool, the Multi-modal Autism Phenotype Snapshot (MAPS), for use in clinical trials targeting core symptoms of autism. This project was funded by a Catalyst Award from the Oregon Clinical & Translational Research Institute.
The objective of this project is to further understanding of sex differences in the fundamental patterns of behavioral and social functioning relevant to the clinical presentation of ASD. Guided by our previous research, we applied Natural Language Processing based methods to transcripts of natural language samples in order to quantify features of atypical language use in females with ASD.
I teach the following courses in OHSU’s Computer Science and Electrical Engineering (CSEE) graduate education program: