Dr. Andrew Ludlow

Assistant Professor

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Biography

Andrew Ludlow is an Assistant Professor in the Department of Movement Science at the University of Michigan, where he also serves as the Director of the Integrative Molecular Genetics Laboratory. His academic journey includes completing a PhD in Kinesiology with a focus on exercise physiology from the University of Maryland's School of Public Health. Prior to his current role, he was an assistant instructor at the University of Texas Southwestern Medical Center in the Department of Cell Biology. Ludlow has published over 30 articles in peer-reviewed journals, including prestigious outlets like Nature Communications and Molecular Cancer Research. He has also contributed a book chapter to 'Methods in Molecular Biology', focusing on sensitive and precise quantification of telomerase activity through the ddTRAP method. An active member of the American College of Sports Medicine and the American Physiological Society, Ludlow frequently serves as a reviewer for numerous journals. His research interests encompass telomeres, telomerase, alternative splicing regulation, chromatin biology, miRNAs, RNA biology, aging diseases, and cancer.

Research Interests

Courses

KINESLGY 685 Research Rotation in Kinesiology MOVESCI 340 Exercise Physiology MOVESCI 443 Exercise and Successful Aging MOVESCI 449 Laboratory in Exercise Physiology MOVESCI 543 MOVESCI 649

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