Dr. Qiuhong He

Associate Professor

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Biography

Qiuhong He earned her PhD in physical chemistry from the University of North Carolina at Chapel Hill, focusing on novel electrophoretic nuclear magnetic resonance (NMR) technology. She completed postdoctoral training at Princeton University and subsequently joined the in vivo NMR division of the Department of Radiology at Johns Hopkins University School of Medicine. At Princeton, she conducted intermolecular multiple-quantum coherence transfer (iMQC) experiments, observing novel NMR phenomena related to long-range spin dipolar interactions in solution NMR. At Johns Hopkins, she initiated the development of in vivo magnetic resonance spectroscopic imaging (MRSI) techniques for metabolite detection in tissues with high concentrations of mobile lipids, utilizing a mammary mouse tumor model. As a faculty member, she is developing rapid MRSI techniques for the early detection of human cancer treatment responses, holding several patents in this area. Her recent invention, the pi-MRSI technique, aids in detecting prognostic markers for immunotherapy in cancer patients, as well as differentiating between pseudo-progression and true tumor progression. Additionally, her laboratory has produced genetically engineered anti-cancer bacteria that enhance immunotherapy using mouse models, which are monitored via MRI and optical imaging. She collaborates on projects using machine-learning algorithms for imaging analysis to characterize the effects of bacteria-based cancer treatments.

Research Interests

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.