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 study health-related applications of Natural Language Processing-based methods, with a focus on pediatric populations with developmental disabilities like Autism Spectrum Disorders, which I’ve studied for the past 15 years.
In addition to research, I am an experienced educator, with peer- and student-nominated awards for teaching. I teach graduate-level data science courses on Statistics and Data Visualization using the statistical programming language R, and I am the author of “Working with Data in the Tidyverse,” to be offered by DataCamp.com.
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: