Dr. Elise Savier

Assistant Professor

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Biography

Elise Savier's research focuses on the visual information processing pathways that target multiple brain regions, including the dorsal lateral geniculate thalamus and superior colliculus. Her work aims to understand how visual information is processed through primary and secondary visual pathways, and how these pathways influence behavior. A major challenge in this research area has been the lack of tools to conduct studies in awake animals, as well as the oversimplified conceptual frameworks that view visual processing as linear from the periphery of the visual cortex. Through her lab's research, Elise strives to unravel the orchestration of visual perception and the physiological mechanisms underlying visual information distribution across brain centers. Utilizing comparative approaches, her studies involve direct comparisons of visual processing in species such as mice and tree shrews, using advanced neuromodulation tools to manipulate specific cell types. This research strives to answer fundamental questions related to the neuronal encoding of visual information and the emergence of visual response properties.

Research Interests

Experience

Assistant Professor

2016-01-01 — Present

Michigan Medicine • University of Michigan

Teaching and conducting research in the field of Ophthalmology and Molecular & Integrative Physiology.

Awards

#

K99 award

2021-06-01

Requirements for University of Michigan

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Total
Required:84
GRE General
Verbal
Required:155
Verbal Percentile
Required:50
Quantitative
Required:168
Quantitative Percentile
Required:50
Analytical Writing
Required:3.6
Writing Percentile
Required:50
Prerequisites
Bachelor degree in engineering, physics, or mathematics Calculus Physics
Application Checklist
  • Rackham Graduate School Application
  • Official Transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Personal Statement
  • CV/Resume
Specialization Notes

Department of Electrical Engineering and Computer Science