Natarajan Raghunand, PhD

Director, Radiology Research

Associate Member, Cancer Physiology

Scientific Director, Quantitative Imaging Shared Resource

 

Education:

• B.Tech (Chemical Engineering) - Indian Institute of Technology, Chennai, India
• MS (Chemical Engineering) - Colorado State University, Fort Collins, CO
• PhD (Chemical Engineering) - Texas A&M University, College Station, TX

 

Research Interests:

• DW-MRI, DCE-MRI and Ferumoxytol MRI biomarker development in cancer clinical trials
• Imaging biomarkers to guide adaptive therapy of solid cancers
• Machine learning on radiologic and pathology images for prediction, prognosis, and differential diagnosis

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Current Lab Members

 

Andres Arias Lorza, PhD (Erasmus University)

 

Current Projects:

• MRI predictors of tumor response in early-phase clinical trials of PEGylated hyaluronidase
• mpMRI biomarkers to guide loco-regional irreversible electroporation therapy of pancreatic ductal adenocarcinoma

 

 

 

 

 

Harshan Ravi, PhD (University of Texas at Arlington)

 

Current Projects:

• Ferumoxytol MRI  of tumor-associated macrophages
• mpMRI "habitat" predictors of high-grade glioma response to immune-oncology therapeutics

 

 

 

 

 

 

 

Shraddha Pandey, MS (doctoral student, Dept. of Electrical Engineering, University of South Florida)

Dissertation Project: Joint Reconstruction of Multiparameter MRI Images for Accelerated Imaging of Intratumoral Subpopulations

 

 

 

 

 

 

 

 

 

Lab Alumni

 

Asim M. Mazin, PhD: Post-Doctoral Fellow 2019-2020, joined Qualcomm in San Diego as a Senior Software Engineer.

 

 

 

 

 

 

 

 

 

 

 

Samuel H. Hawkins, PhD: Post-Doctoral Fellow 2017-2019, joined Bradley University, Peoria, IL, as Assistant Professor of Computer Science.

 

 

 

 

 

 

 

 

 

 

 

Michael J. Bonassar, MS: Research Associate 2015-2017, joined the Doctor of Chiropractic degree program at National University of Health Sciences in St. Petersburg, FL.

 

 

 

 

 

 

 

 

 

 

 

 

Job Openings:

Our group has an open position for a post-doctoral fellow to work on a project on synthetic MRI and image prediction to guide radiotherapy and immunotherapy in longitudinal treatment studies of solid tumors. Candidates must possess a doctoral degree in Computer Science, Biomedical Engineering, Electrical Engineering, Physics, or a related discipline.