Dr. Gerlinde Wernig

Associate Professor

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Biography

Gerlinde Wernig is an Associate Professor in the Department of Pathology at Stanford University. She specializes in Haematopathology and Anatomic Clinical Pathology. Wernig has completed her Fellowship in Hematopathology at Stanford University and has also undergone extensive training in Internal Medicine and Hematology/Oncology in Germany. Her research focuses on fibrotic diseases, which are characterized by excessive scarring and tissue fibrosis. These diseases pose significant health risks and mortality rates that are often higher than those associated with cancer. Current treatments for fibrotic diseases are largely ineffective or nonexistent. Her mission is to identify new treatment targets and uncover the underlying mechanisms of inflammation and fibrosis. By employing cutting-edge techniques such as single-cell transcriptional profiling and mass cytometry, Wernig aims to gain insight into the pathophysiology of these diseases and to develop immunotherapies that can improve patient outcomes. Her work integrates aspects of immunology, cancer research, and tissue metabolism, providing a critical foundation for translating findings into clinical practice.

Research Interests

Experience

Associate Professor

— Present

Stanford University • Stanford, CA

Member of the Professional Education Board, practicing in the Department of Pathology.

Courses

PATH 299 PATH 280 PATH 399 STEMREM 399 PATH 370 PATH 199 STEMREM 199

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.