Dr. Ranjie Xu

Assistant Professor

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Biography

Ranjie Xu is an Assistant Professor in the Department of Basic Medical Sciences at Purdue University College of Veterinary Medicine, specializing in neuroscience, stem cell biology, and molecular biology. His research focuses on developing human pluripotent stem cell (hPSC)-based models to uncover molecular and cellular mechanisms underlying neurodevelopment and neurological disorders, such as Alzheimer's disease and autism spectrum disorders, with a particular emphasis on neuroimmune interactions, neurovascular interactions, and tau pathology. Dr. Xu has developed advanced hPSC-based models, including 2D neural cultures, 3D brain organoids, and human-mouse chimeric brain models, to investigate disease mechanisms and accelerate drug discovery. Additionally, his laboratory is working on innovative hPSC-based cell therapies for neurological disorders. His work has been published in leading journals such as Cell Stem Cell, Molecular Psychiatry, Nature Communications, and Stem Cell Reports.

Research Interests

Experience

Assistant Professor (tenure track)

2022-01-01 — Present

Department of Basic Medical Sciences, Purdue University • West Lafayette, IN

Teaching and conducting research in neuroscience and stem cell biology.

Post-Doctoral Associate

2017-01-01 — 2022-01-01

Department of Cell Biology and Neuroscience, Rutgers University • New Brunswick, NJ

Conducted research in cellular mechanisms of neurological disorders.

Post-Doctoral Associate

2016-01-01 — 2017-01-01

Department of Neurological Sciences, University of Nebraska Medical Center • Omaha, NE

Engaged in research related to neurological disorders.

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.