Dr. John Schiefelbein

Professor

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Biography

John Schiefelbein's research group investigates root epidermis development in the flowering plant Arabidopsis thaliana. The formation of the root epidermis represents a simplified system for studying cell differentiation, as the cells can be easily examined and manipulated during development. The epidermis is composed of various cell types that differentiate in a position-dependent manner. Schiefelbein's work includes identifying and propagating mutants that affect root epidermis formation. Current molecular genetic approaches focus on the phases of root epidermis development, including cell type specification and cell morphogenesis. Genes that affect these processes have been cloned to analyze spatial and temporal regulation and to uncover additional components of developmental pathways. Schiefelbein earned his Ph.D. from the University of Wisconsin at Madison in 1987 and completed a postdoctoral fellowship at Michigan State University from 1987 to 1989. He is a recipient of the National Science Foundation Young Investigator Award, which he received in 1992.

Research Interests

Experience

Professor

1989-01-01 — Present

University of Michigan • Ann Arbor, Michigan

Teaching and conducting research in plant molecular biology and developmental genetics.

Awards

#

National Science Foundation Young Investigator Award

1992-01-01

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