Emma M. Myers
Postdoctoral Associate
Boston University College of Health & Rehabilitation Sciences: Sargent College
Dept of Health Sciences




Emma M. Myers joined the Quantitative Neuroscience Lab as a PhD student in Computational Neuroscience, and is now a postdoctoral associate. Her research is focused on gene expression in the brain using high-throughput datasets, and particularly the identification of transcriptomic signatures shared by homologous brain structures in the human and mouse. She also studies the expression profiles of genes implicated in speech and language disorders in the human brain.

Before coming to Boston University, Emma earned her BA in Cognitive Science from Vassar College. She worked as a laboratory technician in Robert Desimone’s lab (first at the NIH, then at MIT) conducting and analyzing experiments in electrophysiology in macaque visual cortex. Having experienced “wet brain” work and developed skills in writing code for analysis, Emma came to BU to pursue research in neuroscience using computational and data analytic approaches. She is interested in using transcriptomic information to clarify disease etiology, and to inform mouse models of human neuropathologies.
Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

  1. Myers EM, Bartlett CW, Machiraju R, Bohland JW. An integrative analysis of regional gene expression profiles in the human brain. Methods. 2015 Feb; 73:54-70. PMID: 25524419; DOI: 10.1016/j.ymeth.2014.12.010;.
  2. Bohland JW, Myers EM, Kim E. An informatics approach to integrating genetic and neurological data in speech and language neuroscience. Neuroinformatics. 2014 Jan; 12(1):39-62. PMID: 23949335; DOI: 10.1007/s12021-013-9201-6;.

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 2 publications over 1 distinct years, with a maximum of 2 publications in 2014

YearPublications
20142
In addition to these self-described keywords below, a list of MeSH based concepts is available here.

Bioinformatics
Gene expression
Comparative molecular neuroanatomy
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