Kayleigh Ryherd

Education

2019 (expected): PhD, Developmental Psychology; University of Connecticut (Storrs, CT)
Dissertation: Exploring the role of language in two systems for categorization
2016: MS, Developmental Psychology; University of Connecticut (Storrs, CT)
2014: BS, Psychology, summa cum laude; The George Washington University (Washington, DC)

Work Experience

Summer 2018: Lexia Learning (Concord, MA)
Doctoral Fellow

Produced end-of-year report for customer outlining product efficacy and outcomes.
Analyzed and summarized two large datasets to support product sales and customer relations.
Submitted two academic conference abstracts using product data.
Researched reference management software and prepared training on software for research team.

June 2014 - present: University of Connecticut (Storrs, CT) & Haskins Laboratories (New Haven, CT)
Graduate Research Assistant

Processed and analyzed behavioral, eye-tracking, EEG, and fMRI data
Designed and implemented experiments as part of multiple research groups
Communicated research findings in person at five international conferences and in writing in five peer-reviewed journal articles
Managed a team of up to seven research assistants, including scheduling, training, and data collection

July 2017 - May 2018: UConn Brain Imaging Research Center (BIRC) (Storrs, CT)
Research Fellow in Neuroimaging

Received competitive assistantship funded by CT Institute for the Brain and Cognitive Sciences
Trained in the acquisition, processing, and analysis of functional neuroimaging data
Designed analysis pipelines for a BIRC-funded research project
Trained project members with little technical expertise on pipeline protocols

August 2014 - present: University of Connecticut (Storrs, CT)
Teaching Assistant

Developed lectures and class activities
Guided students in creating, implementing, analyzing, and communicating their own research studies
Designed guides for using online class resources for students in Developmental Psychology

Skills

Programming Languages: R: 4 years; Python: 1 year (mostly pandas); Basic knowledge of Shell, SQL, Stata
Statistics: Regression, mixed-effects modeling, growth curve analysis, partial least squares
Software: AFNI (MRI), NetStation (EEG), Brain Vision PyCorder (EEG), Eye-Link (eye-tracking)

Selected Publications

Ryherd, K., Jasinska, K., Van Dyke, J. A., Hung, Y.-H., Baron, E., Mencl, W. E., … Landi, N. (2018). Cortical regions supporting reading comprehension skill for single words and discourse. Brain and Language, 186, 32–43. doi:10.1016/j.bandl.2018.08.001

Landi, N., & Ryherd, K. (2017). Understanding specific reading comprehension deficit: A review. Language and Linguistics Compass, 11(2), 1–24. doi:10.1111/lnc3.12234

Honors & Awards

2016	CT Institute for the Brain and Cognitive Sciences Summer Fellowship
2015	Honorable Mention, NSF Graduate Research Fellowship Program