Skills

R

Python

Git/GitHub

Statistics

Neuroimaging

Project Management

Experience

 
 
 
 
 

PhD Student

University of California, Los Angeles

Sep 2018 – Present Los Angeles, CA
Graduate student in the Rissman Memory Lab. Projects included:

  • Analysis of behavioral and fMRI data from 170 subjects in an RDoC style project focusing on working memory (NIMH R01-MH101478).
  • Presentation of data at multiple national conferences, including the Annual Meetings of the Cognitive Neuroscience Society and Society for Neuroscience
  • Development of projects focused on effect of value on memory and the neural underpinnings of the testing effect.

 
 
 
 
 

Post-Baccalaureate Fellow

Lab of Brain and Cognition – National Institute of Mental Health

Jun 2016 – Aug 2018 Bethesda, MD
Responsibilities included:

  • Collected fMRI and behavioral data (including eye tracking) for patients and healthy controls
  • Analyzed data using MATLAB
  • Presented results at national conferences, included annual meetings of the Society for Neuroscience and the Cognitive Neuroscience Society
 
 
 
 
 

Research Assistant

Visual Perception Lab – Colgate University

Oct 2013 – Jun 2016 Hamilton, NY
Responsibilities included:

  • Collected behavioral and EEG data for ongoing research with Dr. Bruce Hansen
  • Analyzed EEG data using independently developed MATLAB scripts
  • Designed a full year thesis project on the impact of emotion in early visual processing
  • Wrote custom MATLAB scripts to analyze and present data from thesis

Professional Development Highlights

Neurohackademy

Two-week intensive training in the intersection between data science, including machine learning techniques, and neuroimaging with a focus on open and reproducible science

Here, I helped design, develop and implement a project augmenting functionality of fMRIQC, an open source quality control tool for fMRI data, during a week-long “hackathon”

AFNI Bootcamp

Week long training in the basics of AFNI neuroimaging software, including preprocessing and statistical analysis of task-based and resting state fMRI

Recent Publications and Presentations

** 2021 **

Walsh, C., Pochon, J.B., Enriquez, K.D., Truong, H., Lenartowicz, A., Loo, S.K., Sugar, C.A., Bearden, C.E., Bilder, R.M, Rissman, J. (2021). A non-monotonic relationship between working memory capacity and load-related fMRI activity. Manuscript in preparation.

** 2020 **

Reimann, G.E.., Walsh, C., Csumitta, K.D., McClure, P., Pereira, F., Martin, A., Ramot, M. (2020). Insufficient Eye Tracking Data Leads to Errors in Evaluating Typical and Atypical Fixation Preferences. Manuscript submitted for publication. https://doi.org/10.1101/2020.09.21.306621

Ramot, M., Walsh, C., Reimann, G., Martin, A. (2020). Distinct neural mechanisms of social orienting and mentalizing revealed by independent measures of neural and eye movement typicality. Communications Biology 3(48). https://doi.org/10.1038/s42003-020-0771-1 PDF

** 2019 **

Walsh, C., Pochon, J.B., Enriquez, K.D., Truong, H., Lenartowicz, A., Loo, S.K., Sugar, C.A., Bearden, C.E., Bilder, R.M, Rissman, J. A non-monotonic relationship between working memory capacity and load-related increases in brain activity. Annual Meeting of the Society for Neuroscience. October 2019. PDF

Ramot, M., Walsh, C., Martin, A. (2019). Multifaceted Integration: Memory for Faces Is Subserved by Widespread Connections between Visual, Memory, Auditory, and Social Networks. Journal of Neuroscience 39(25).https://doi.org/10.1523/JNEUROSCI.0217-19.2019 PDF

Walsh, C., Pochon, J.B., Enriquez, K.D., Truong, H., Lenartowicz, A., Loo, S.K., Sugar, C.A., Bearden, C.E., Bilder, R.M, Rissman, J. Characterizing the Relationship Between Working Memory Capacity and Load-Related Increases in fMRI Activity. Cognitive Neuroscience Annual Meeting. March 2019. PDF

** 2018 **

Ramot, M., Walsh, C., Martin, A. Face memory performance is predicted by the strength of resting state functional connectivity between task-defined face patched and medial temporal lobe structures. Cognitive Neuroscience Society Annual Meeting. March 2018.

** 2017 **

Walsh, C.R., Gotts, S.J., Martin, A. Searching for the Categorical Structure of Abstract Concepts. Society for Neuroscience Annual Meeting. November 2017.

Walsh, C.R., Gotts, S.J., Martin, A. Clustering Abstract Concepts into Distinct Categories. Annual Meeting for the Society for the Neurobiology of Language. November 2017.

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