Dr. Kari Ekenstedt

Associate Professor

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Biography

Kari Ekenstedt is an Associate Professor in the Anatomy Genetics area of the Department of Basic Medical Sciences at Purdue University College of Veterinary Medicine. She specializes in comparative molecular biosciences with a focus on canine and feline genetics. Dr. Ekenstedt earned her Doctor of Veterinary Medicine (DVM) and PhD from the University of Minnesota, where her doctoral research advanced the understanding of inherited diseases in dogs. Her academic career includes faculty roles at the University of Wisconsin–River Falls and the University of Minnesota before joining Purdue University in 2017. Her work integrates veterinary medicine, molecular biology, and genetics to investigate the genetic basis of disease, improve diagnostic tools, and inform breeding practices. In addition to her research, Dr. Ekenstedt is committed to educating the next generation of veterinarians and scientists, leveraging her clinical background to connect molecular discoveries with real-world animal health applications.

Research Interests

Experience

Associate Professor

2024-01-01 — Present

Purdue University College of Veterinary Medicine • West Lafayette, IN

Associate Professor in the Department of Basic Medical Sciences specializing in Anatomy Genetics.

Assistant Professor

2017-01-01 — 2024-01-01

Purdue University College of Veterinary Medicine • West Lafayette, IN

Assistant Professor in the Department of Basic Medical Sciences.

Requirements for Purdue University

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:100
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
Duolingo
Overall Score
Required:135
Overall
Required:135
Prerequisites
Bachelor's degree in CS or related field Foundational concepts of computer science Data structures Computer architecture Operating systems Mathematics through differential equations Linear and matrix algebra
Application Checklist
  • Official Transcripts
  • Academic Statement of Purpose
  • Personal History Statement
  • Resume
  • Three Letters of Recommendation
  • CS Supplementary Form
Specialization Notes

GRE is not required.