Dr. Ronghu Wu

Professor

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Biography

Ronghu Wu is a prominent figure in the area of Analytical Chemistry and Chemical Biology, with a focus on mass spectrometry (MS) as a powerful tool in biomedical research. His research primarily revolves around developing novel MS-based proteomics methods applicable to biomedical studies, which help in characterizing proteins and their post-translational modifications (PTMs). Wu's innovative techniques measure abundance changes and investigate protein interactions, yielding significant insights into cellular signaling pathways, particularly in relation to cancer. The work of Wu further emphasizes understanding the relationship between protein modifications and changes in cellular states, aiming to identify novel disease biomarkers and new drug targets which may contribute to personalized medicine. With a solid educational background including a M.S. and Ph.D. in Analytical Chemistry from the University of Science and Technology of China, alongside a post-doctoral fellowship at Harvard Medical School, Wu is at the forefront of advancing knowledge in cell metabolism and its implications in human health.

Research Interests

Experience

Professor

— Present

Georgia Institute of Technology • Atlanta, GA

Conducting advanced research in mass spectrometry applications in biochemical research.

Awards

#2016

ASMS Research Award

#2015

NSF CAREER Award

#2014

Blanchard Assistant Professorship

#

Alexander von Humboldt Research Fellow

Requirements for Georgia Institute of Technology

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:19
Reading
Required:19
Writing
Required:19
Speaking
Required:19
Total
Required:100
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:5.5
Speaking
Required:6.5
Overall
Required:7.5
Prerequisites
Undergraduate degree in computer science or related field
Application Checklist
  • Online application
  • Official transcripts
  • Three letters of recommendation
  • Statement of Purpose
Specialization Notes

Department of Computer Science: GRE scores are optional for Fall 2026.