About

 

About

 

Carrie Wright is a Research Associate in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health (JHSPH). Dr. Wright is a member of the Johns Hopkins Data Science Lab (DaSL) and the Open Case Studies team. Prior to joining the JHSPH, Dr. Wright was a Posdoctoral Fellow at the Lieber Institute for Brain Development (LIBD), where her research focused on uncovering genetic mechanisms in psychiatric disease through the utilization of data science tools. At LIBD, Dr. Wright cofounded the LIBD rstats club, a community designed to encourage others to learn more about R programming and statistics. Dr. Wright has also served as an instructor for the Baltimore Underground Science Space and the Johns Hopkins Center for Talented Youth.

 

 

   

Postdoctoral Work

 

Dr. Wright was a Postdoctoral Fellow at the Lieber Institute for Brain Development at the Johns Hopkins School of Medicine under the advisement of Dr. Daniel Weinberger from 2014 - 2019.

She began her fellowship in October of 2014, as an AstraZeneca fellow (2014 - 2017). During her time at the Lieber Institute for Brain Development, she led an initiative to develop a small RNA sequencing protocol for estimating small RNA expression in more than 1600 brain samples. She also worked on several projects exploring gene expression alterations in a variety of psychiatric disorders, including schizophrenia, bipolar disorder, and autism spectrum disorder. Dr. Wright also co-founded the LIBD Rstats Club with Leonardo Collado-Torres and Emily Burke.

Graduate Work

 

Dr. Wright obtained a PhD in Biomedical Sciences at the University of New Mexico School of Medicine.

Dr. Wright’s graduate work was performed at the University of New Mexico School of Medicine and the Mind Research Network. She was co-advised by Dr. Nora Perrone-Bizzozero, an expert of post-transcriptional gene regulation of nervous system development and Dr. Jessica Turner, an expert of neuroinformatics and imaging genetics. With their mentorship, Dr. Wright wrote several of the first publications characterizing the potential influence of genetic variants within the microRNA137 (miR-137) host gene and the genes regulated by miR-137 within the context of schizophrenia.

Interests

 

  • Clinical Research
  • Brain disorders
  • Genomics
  • Non-coding RNA
  • Gene regulation
  • R programming
  • Biostatistics
  • Education